Affiliated Faculty

Behnam Abasht
Email | (302) 831-8876

Genetics, Genomics, Bioinformatics

Ryan Arsenault
Email | 302-831-7579

Kinomics, Microbiome, Peptide Array Design, Data Tools/Mining.
http://canr.udel.edu/faculty/arsenault-ryan-j/

The Arsenault lab studies cellular signal transduction through the use of high-throughput peptide array technology. We study animal health and infectious diseases, gut health and immunometabolism. Bioinformatics plays a role at all levels including peptide array design, data integration, data mining and data visualization. Applying peptide array technology to new species and new post-translational modifications and the development of new data tools are an important part of our ongoing research.

Nii Attoh-Okine
Email |

Big Data, Infrastructure, Infrastructure Systems, Transportation
http://ce.udel.edu/directories/profiles.html?okine

Brian Bahnson
Email | (302) 831-0786

Structural Biology, Molecular Modeling
http://www.udel.edu/chem/bahnson/

The Bahnson lab is exploring the fascinating catalytic power of enzymes with a focus on two related areas of interest: (i) x-ray crystallography is used to solve structures of substrate complexes and intermediates of enzyme catalyzed reactions and (ii) understanding the role of evolved ordered enzyme motions in catalysis.

Roghayeh (Leila) Barmaki
Email | 302-831-0071

Augmented Reality and Immersive Analytics, Embodied Cognition, Multimodal Machine Learning
https://sites.udel.edu/rlb/

Roghayeh (Leila) Barmaki is an Assistant Professor at the Computer & Information Sciences Department and affiliated with the Data Science Institute at the University of Delaware. Dr. Barmaki leads the Human-Computer Interaction Lab at the University (HCI@UD). Her research interests span Multimodal Data Analytics, Human-Computer Interaction, Virtual and Augmented Realities with applications in Education and Healthcare.

Kenneth Barner
Email | (302) 831-6937

Signal and Image Processing, Medical Imaging, Virtual Environments, Haptic Systems, Medical Visualization and Surgery Simulation
http://www.ece.udel.edu/~barner

Rahmat Beheshti
Email |

Rahmat Beheshti is an assistant professor in the Data Science Institute and also the Department of Computer & Information Sciences at the University of Delaware. He has a unique interdisciplinary background by finishing his postdoctoral training in Public Health and his PhD and MSc in Computer Science. He has been working in the area of Health Data Analytics and Computational Epidemiology for the past eight years. Specifically, he has worked extensively on two major public health epidemics: smoking and obesity, and has focused on very different aspects of these two, including the social, economic, environmental, and lately biological factors that affect these epidemics.

Jennifer F Biddle
Email | (302) 645-4267

Microbial Populations and Processes in Subseafloor Marine Environments
http://www.ceoe.udel.edu/our-people/profiles/jfbiddle

Mary Elizabeth (Libbey) Bowen
Email | 302-831-8380

Dr. Bowen is a social gerontologist with interests in efficacy trials of health care technologies to inform translational research and system-wide implementation and health disparities research.

Fidelma Boyd
Email | (302) 831-1088

Richard Braun
Email | (302) 831-1869

Mathematical models for tear film, ocular surface and blink dynamics; mathematical biology and medicine
http://www.math.udel.edu/~braun/

Richard Braun is an applied mathematician whose recent research focuses on dynamics of the tear film, ocular surface and blinking. He uses mathematical modeling, perturbation methods and computation methods to get results of interest to the ocular surface community.

Ben Carterette
Email | (302) 831-3185

Artificial Intelligence
http://ir.cis.udel.edu/~carteret/

Sunita Chandrasekaran
Email | 302-831-2714

Dr. Chandrasekaran's research interests include exploring high-level directive-based parallel programming models for heterogeneous HPC and embedded systems, exploring strategies to migrate scientific applications to current and future platforms, creating benchmark suites representing real-world applications to measure performance of computing systems, building validation and verification suites for validating parallel programming models and its conformance to the standard.

Sheng-Chih Chen
Email |

Sheng-Chih Chen leads the technology company Intelligent Computing Systems to develop software tools and provide data services. He is Adjunct Assistant Professor at the University of Delaware and Georgetown University Medical Center.

Ho Ming Chow
Email |

Stuttering, neuroimaging, genetics

With a background in cognitive neuroscience, psycholinguistics and engineering, I have been developing and using cutting edge neuroimaging techniques and machine learning approaches to study the neurobiology of human communication. My current research focuses on understanding genetic factors underlying functional and structural anomalies associated with persistent stuttering and neural re-organization leading to recovery from childhood stuttering. The overall goal of my research program is to identify early markers of persistent stuttering and develop effective therapeutic interventions to treat the disorder. My current projects aim at understanding the neural processes of speech production and how these processes are disrupted in developmental stuttering using multimodal neuroimaging techniques, genetic sequencing and genetically modified mice.

Larry Cogburn
Email | (302) 831-1335

Molecular Endocrinology, Functional Genomics, System Biology
http://cogburn.dbi.udel.edu

Susan Conaty-Buck
Email | 302-831-7375

Kathryn Coyne
Email |

Phytoplankton ecology and molecular biology
http://www.udel.edu/MERL/

Research in Coyne's lab is broadly focused on the molecular ecology of phytoplankton, and harmful algal bloom species in particular. We are interested in phytoplankton response to changes in the environment over varying time scales, using biochemical and molecular markers to investigate these responses at different taxonomic levels.

Adam Davey
Email | 302-831-3856

Keith Decker
Email | (302) 831-1959

Distributed Information Gathering and Integration, Agent-based Modeling
http://www.cis.udel.edu/~decker/

Dr. Decker works on problems in bioinformatics that require data to be gathered autonomously from distributed sources and integrated with local data to produce new information for life scientists. He has been involved with projects to automate repetitive analyses and apply artificial intelligence reasoning techniques to represent biological processes and propose new hypotheses for testing. He is also involved in agent-based modeling of cellular and sub-cellular behavior.

Shanshan Ding
Email | 302-831-1884

Dimension reduction, high dimensional data, machine learning, multivariate analysis, survival analysis, statistical applications to neuroimaging and genomic data
http://canr.udel.edu/faculty/ding-shanshan/

Vu Dinh
Email | (765) 237-8876

Mathematical and computational biology; Machine learning
http://vucdinh.github.io/

My research focuses on phylogenetics and applied probability/statistics, with an emphasis on the development of next-generation Markov chain Monte Carlo (MCMC) methods for phylogenetic inference. I am also interested in computational methods for experimental design and control of biological systems, as well as machine learning algorithms and their applications in applied sciences.

Toby Driscoll
Email |

Numerical analysis and scientific computing, particularly spectral methods for differential equations, with applications in modeling and simulation of infant circulation and human tear films.
http://www.tobydriscoll.net

Melinda Duncan
Email | (302) 831-0533

Next generation RNA sequencing to gain biological insights into developmental biology and wound healing, image analysis, data mining of health records data
https://www.bio.udel.edu/users/mduncan

The Duncan lab uses anatomical, genetic, molecular and cell biology methods to investigate the molecular basis of blinding eye conditions, most notably cataracts. Diverse bioinformatic methods are used in this research as well. A current focus of the lab and possible topic for a research MS thesis in Bioinformatics and Computational Biology is the bioinformatic analysis of RNA-seq data generated from tissues with highly non-normal distributions of gene expression.

Hui Fang
Email | (302) 831-7238

Information Retrieval, Data Mining
http://www.ece.udel.edu/~hfang/

Pak-Wing Fok
Email | (302) 831-0637

Tissue Modeling, Stochastic Processes
http://udel.edu/~pakwing/

Pak-Wing Fok is an Applied Mathematician whose research centers on atherogenesis and plaque development. He is interested in the physical and biological processes that drive plaques to grow and later rupture, using a combination of mathematical modeling and computation to understand these complex phenomena.

Guang Gao
Email | (302) 831-8218

High Performance Computing, Data Mining
http://www.capsl.udel.edu/~ggao/

Pamela Green
Email |

The Green Lab studies RNA biology with emphasis on post-transcriptional control of gene expression at the genomic, epigenomic, molecular genetic, and biochemical levels. Our projects include genome-wide analyses of the human RNA degradome, the Arabidopsis RNA degradome in ribonuclease mutants, and noncoding RNAs, namely miRNAs and siRNAs associated with environmental and oxidative stress, aging, and tissue type. The work is carried out in model plants, food and bioenergy crop plants, marine invertebrates, and human cells.

Jodi Hadden-Perilla
Email | 302-831-7054

Computational chemistry, computational biophysics, structural biology, molecular dynamics simulations, molecular modeling
https://sites.udel.edu/jhadden/

Dr. Hadden-Perilla uses all-atom molecular dynamics simulations -- often referred to as "the computational microscope" -- to study biological machines, such as viruses and molecular motors. Prior to joining the University of Delaware, she held a postdoctoral position at the Beckman Institute for Advanced Science and Technology and served as the Technology Training Organizer for the NIH Center for Macromolecular Modeling and Bioinformatics. Dr. Hadden-Perilla's research extends beyond elucidation of the mechanisms of biological machines to developing tools and approaches that make the "computational microscope" accessible to blind and vision-impaired researchers.

Thomas Hanson
Email | (302) 831-3404

Microbial Genomics
http://www.ceoe.udel.edu/people/profile.aspx?tehanson

Keith Hopper
Email | (302) 731-7330

Genetics and evolution of insect host specificity
https://www.researchgate.net/profile/Keith_Hopper

The Hopper lab studies the genetics of host shifts in herbivores (genus Heliothis) and aphid parasitoids (genus Aphelinus) using laboratory experiments on host use behavior and quantitative genetics analyses of inter and intraspecific crosses to map QTL and determine genetic architecture. We also use modern methods of molecular phylogenetics to develop a robust phylogeny for species (~100) in the genus Aphelinus. To develop and genotype SNPs for QTL mapping and molecular phylogenetics, reduced-representation genomic libraries are generated. With these libraries, we are using next-generation sequencing to discover and genotype large numbers of SNP markers distributed across the genome

John Jungck
Email | (302) 831-2281

Dr. Jungck is primarily interested in four different areas of bioinformatics that are reflected in recent publications: 1)"Genetic Codes as Codes: Towards a Theoretical Basis for Bioinformatics;" 2)"Ka-me: A Voronoi Image Analyzer" that allows users to analyze biological images of polygonal tessellations such as dividing epithelia with computational geometry, graph theory, and spatial statistics; 3)"Evolutionary Bioinformatics: Making Meaning of Molecular Messages" with a focus on molecular phylogenetics; and "Bioinformatics education dissemination with an evolutionary problem solving perspective." Please visit http://bioquest.org/bedrock/ for bioinformatics education modules.

Chandra Kambhamettu
Email | (302) 831-8235

Biomedical Image analysis, Computer Vision/Graphics
http://www.cis.udel.edu/~chandra/

Calvin Keeler
Email | (302) 831-6473

Pathogenomics, Innate Immunity, Molecular Virology
http://ag.udel.edu/anfs/faculty/Keeler.html

Megan Killian
Email | (302) 257-1913

Mammalian genomics, genetics, mechanobiology, orthopedics, developmental biology
http://www.killianlab.com

The Killian lab in the Department of Biomedical Engineering at the University of Delaware is focused on research in Musculoskeletal Development and Rehabilitation. Our primary aim is to understand how dissimilar tissues form a structural and functional interface that allows our musculoskeletal system to function, grow, and adapt during development and following injury. We use in vivo experimental approaches that incorporate techniques from molecular biology, genetics, biomechanical engineering, and imaging to address how mechanical forces influence growth, development, and repair of musculoskeletal soft tissues.

David Kirchman
Email | (302) 654-4375

The Kirchman lab examines the role of heterotrophic and photoheterotrophic bacteria in elemental cycles of the oceans. Most of our work is focused on the carbon cycle and the processing of natural dissolved organic material in estuarine and coastal waters. Because the vast majority of these microbes cannot be cultivated, we use cultivation-independent approaches to identify bacteria and to explore the role of various types of bacteria in elemental cycles. We are also interested in what controls the growth, abundance, and biomass levels of bacteria over time and space. Current projects include work in the Delaware estuary, the Arctic Ocean, and in Antarctic Seas.

April Kloxin
Email | 302-831-3009

The April Kloxin Group seeks to understand important biological signals in tissue regeneration and disease using both a materials- and engineering-based approach. They design materials to mimic soft tissues, such as brain, muscle, and connective tissue, and whose properties can be modified at any location and time. These novel biomaterials are used as a flexible platform for cell culture to ask fundamental questions about how the environment surrounding a cell influences cell function and fate for tissue regeneration or disease progression. These findings are utilized to develop better strategies for tissue repair or disease treatment towards improving human health.

Salil Lachke
Email | (302) 831-3040

Identify and functionally characterize regulatory pathways associated with mammalian eye development and disease.
http://www.bio.udel.edu/users/slachke

The Lachke lab uses systems-based approaches in combination with mouse and human genetics to identify genes critical to ocular development and function. We have developed a bioinformatics-based approach, iSyTE (integrated Systems Tool for Eye gene discovery) that has identified several novel candidate genes involved in lens development and disease. Opportunities are available for students with interest in developing tools for analyzing RNA-seq data generated from RNA-IP (Immuno Precipitation) experiments in the lens and lens-derived cells.

Kelvin Lee
Email | (302) 831-0344

Systems Biology, Proteomics, Genomics
http://www.leelab.org/

Kelvin Lee's research team works on problems relevant to the biopharmaceutical manufacturing community and to the Alzheimer's disease community. The group uses -omics tools and approaches to support ways to improve manufacturing of therapeutic proteins and antibodies and also uses stem cell based models of the blood-brain barrier to improve understanding and delivery of such molecules to address neurodegenerative diseases.

Jung-Youn Lee
Email | (302) 831-3230

Lee laboratory research is focused on understanding the role of cell-to-cell communication through plasmodesmata in plants by taking a multidisciplinary approach employing cell and molecular biology, biochemistry, genetics, and bioinformatics. Plasmodesmata are intercellular communication channels unique to plant systems that are considered one of the fundamental changes that occurred during the evolution of land plants. Yet, our understanding of this fundamental structure is quite limited. The Lee lab is tackling this problem by working towards unmystifying their molecular composition and architecture, control mechanisms, and roles in physiological and developmental processes.

Xiaoming Li
Email | (302) 831-0334

High Performance Computing and Applications
http://www.ece.udel.edu/~xli

Li's research is focused on the high-performance computing and its applications. Specifically, we develop code optimization techniques that accelerate programs on various computer platforms including multi-core processors and Graphic Processing Units (GPU's). Furthermore, we deliver near-peak performance for many widely used numerical routines such as FFT and BLAS. Our research propels the efficiency of computation, which ultimately caps the size and complexity of problems that can be solved by the computational approach in bioinformatics and related areas.

Li Liao
Email | (302) 831-3500

Identification/Prediction of Sequence and Structural Signatures of Protein, DNA and RNA; Systems Biology, with a focus on Protein-Protein Interaction Prediction and Regulatory Networks Inference; Comparative Genomics; Sequence Assembly
http://www.cis.udel.edu/~lliao

X. Lucas Lu
Email | 302-831-2401

Our research focuses on the mechanobiology in musculoskeletal system, in particular how cartilage and bone cells sense the mechanical forces generated from our physical activities and transfer the signals into orchestrated cellular activities. Using advanced mechanical methods, microscopy techniques, nanotechnology, proteomics and computational modeling, the mechano-chemical conversation between cartilage and bone at both molecular and cellular levels are investigated to understand the etiology of osteoarthritis and osteoporosis, and to find new therapeutic interventions aimed at the mitigation or treatment of these diseases.

Edward Lyman
Email | (302) 831-3519

Julia Maresca
Email | (302) 831-4391

Adam Marsh
Email | (302) 645-4367

Environmental Bioinformatics
http://www.ceoe.udel.edu/our-people/profiles/amarsh

Anja Nohe
Email | (302) 831-2959

Systems Biology, Pathway Modeling, pbpk Modeling
http://www.bio.udel.edu/users/anohe

Babatunde Ogunnaike
Email | (302) 831-4504

Complex Systems Analysis and Control; Applied Statistics; Systems Biology
http://www.che.udel.edu/directory/facultyprofile.html?id=325

Our research efforts are organized around the general theme of first understanding the dynamic behavior of complex systems through mathematical modeling and analysis, and then exploiting this understanding for novel designs and improved operation. The particular complex systems of interest range from polymer reactors, particulate processes and extruders, to biological systems on the cellular, tissue, and organ levels. When sufficient fundamental knowledge is available, we develop and employ dynamic mechanistic models; when more data is available than fundamental knowledge, we apply probability theory and statistics for efficient data acquisition and empirical model development.

Terry Papoutsakis
Email | (302) 831-8376

Systems Biology, Metabolic Engineering
http://www.papoutsakis.org

Vijay Parashar
Email | (973) 715-4411

Structural Biology, Bacterial Signal transduction, discovery of novel anti-infectives
http://xtalsmgddp.wixsite.com/parasharlaboratory/people

Using a combination of structural (X-ray crystallography) and functional analyses, our laboratory determines the mechanistic basis of critical communication events during bacterial pathogenesis. This facilitates development of a novel class of anti-infectives that do not kill bacteria but target these communication events to curb bacterial behaviors leading to disease.

Mark Parcells
Email | (302) 831-0114

Molecular Virology, Tumor immunology, Vaccine Development and Testing
http://canr.udel.edu/faculty/parcells-mark

Sandeep Patel
Email | (302) 831-6024

Computational Chemistry; Machine Learning; Stochastic Processes
http://patelgroup.chem.udel.edu/joomla/

Dr. Patel uses a variety of computing paradigms (HPC, GPU, supercomputer, etc) for modeling at the quantum and classical levels, materials of relevance to biochemical processes. He is also interested in application of machine learning and artificial intelligence methods for developing computaitonal models, as well as analyzing large data sets wherever they may originate. Finally, he is interested in coupling machine learning / AI methods with current understanding of stochastic processes involved in biology, biochemistry, and mathematics.

Juan Perilla
Email | 302-831-4806

Biophysics, Computational biology, molecular modeling, statistical biophysics
http://biophysics.chem.udel.edu

A key theme of Dr. Perilla's research is to explore fundamental cell processes across multiple scales. Dr. Perilla's primary technique is molecular dynamics (MD). During the past three decades, MD simulations have emerged as a "computational microscope", which has provided a unique framework for the study of the phenomena of cell biology in atomic (or near-atomic) detail. Remarkably, due to the the ambitious nature of Dr. Perilla's research, his lab has developed novel MD approaches for computation, data analysis, and interface to experiments. In addition, the synergistic interplay between Dr. Perilla's computational work and state-of-the-art experimental work performed by experimental collaborators, has resulted in a robust framework for elucidating accurately and quantitatively the physical mechanisms of biomolecular function.

P. Michael Peterson
Email | (302) 831-3672

Dr. Peterson has extensive experience in behavioral assessment and change. He is also an expert in health and media, social marketing and has developed and implemented numerous research studies related to behavior change via social marketing interventions. He has consulted with a wide variety of private, non-profit, and government agencies in the area of behavioral change and assessment. He also has been primary investigator on many grant projects that promote health in communities throughout the Mid-Atlantic region, and has created highly acclaimed cutting-edge tools for assessing health-related behavioral, psychosocial, and ecological measures.

Shawn Polson
Email | (302)831-3235

My research interests lie at the intersection of genomics and microbial ecology, examining the ways in which microorganisms and viruses affect and are affected by their environments. The lab is also involved in designing and implementing bioinformatics solutions for utilizing systems biology data (e.g. genomics, metagenomics, transcriptomics) to answer microbial and viral ecology questions. We apply these approaches in numerous environments including marine, freshwater, and soil ecosystems and various organism-associated microbiomes including oyster, coral, cattle, and soybean.

Jing Qiu
Email | 302-831-4550

Analysis of high dimensional data, statistical modeling of genomics data, gene expression data analysis, DNA methylation analysis, high dimensional equivalence test, confidence intervals for selected means, multiple testing, Bayesian modeling.
http://canr.udel.edu/faculty/jing-qiu

Tania Roth
Email | (302) 831-2787

Behavioral epigenetics, early life stress
http://rothlab.psych.udel.edu/

We are interested in understanding how environmental factors, such as parenting behavior and social stress, can influence the development of behavior and psychiatric disorders. Our primary interests are centered on identifying epigenetic changes (i.e. DNA methylation) associated with early-life caregiving experiences, particularly maltreatment, and understanding their causal role in behavioral outcome

Gilberto Schleiniger
Email | (302) 831-1872

Mathematical Biology, Mathematical Modeling and Scientific Computation, Applications of Mathematics in Medicine
https://www.mathsci.udel.edu/people/faculty/schleini

Carl Schmidt
Email | (302) 831-1334

Avian Genomics
http://ag.udel.edu/anfs/faculty/Schmidt.html

Erica Selva
Email | (302) 831-6096

Signal Transduction
http://www.bio.udel.edu/people/erica-selva.php

Vijay Shanker
Email | (302) 831-1952

Natural Language Processing, Text Mining of Biomedical Literature, Machine Learning
http://www.cis.udel.edu/~vijay

Hagit Shatkay
Email | (302) 831-8622

Computational Biology, Medical Informatics, Bioinformatics, Machine Learning, Data and Text Mining, and their combination.
http://www.eecis.udel.edu/~shatkay/

Abhyudai Singh
Email | (302) 831-8677

Research in our lab is focused on developing mathematical and computational tools for studying the stochastic dynamics of gene-protein networks at a single cell resolution. By combining these computational techniques with high-throughput experimental data we map novel regulatory mechanisms within gene-protein networks. Of particular interests are sub-cellular biochemical networks underlying various disease systems. Current research uses coupled experimental-computational approaches to characterize gene regulatory networks encoded by pathogenic viruses such as Human Immunodeficiency Virus and Herpes viruses, and design strategies to manipulate these networks for therapeutic benefit.

Jia Song
Email | 302-831-2794

The Song lab uses computational, molecular biological, systems biology approaches such as next generation sequencing and proteomic approaches to understand the regulatory roles of microRNAs in early development.

Erin Sparks
Email | (302) 831-3428

Plant Development, Plant Molecular Biology, Plant Biomechanics
http://sites.udel.edu/canr-sparkslab/

The yield potential of agricultural crops is limited by the ability of plants to support their own weight and withstand external forces. The failure of plants to stay upright, termed lodging, can have a dramatic impact on crop yields. Lodging can occur when the stem breaks (stalk lodging) or when the root system loses contact with the soil and is up-rooted (root lodging). Although stalk lodging has been the focus of much research attention, it is suggested that root lodging is more prevalent. In some crops (e.g. corn and sorghum) specialized aerial roots, called brace roots, are thought to play an important role in stability to prevent root lodging. Yet, the benefit of brace roots to the plant and what makes a good brace root is unknown. Our lab focuses on understanding the development and function of brace roots in crops. We leverage techniques from engineering, computational biology, genetics, genomics, and molecular biology to address these research questions.

Kenneth VanGolen
Email | (302) 831-2669

Breast, Prostate and Pancreatic Cancer
http://www.bio.udel.edu/people/kenneth-van-golen.php

Shuo Wei
Email | (302) 831-1146

Regulation of cell signaling and proteolysis in development and disease
https://www.bio.udel.edu/users/swei

Research description: The Wei lab is interested in the regulation of cell signaling, in particular Wnt and PI3K/Akt signaling, by cell-surface metalloproteinases. Perturbations of these cellular processes can lead to severe birth defects as well as other diseases, such as tumors, arthritis and neurodegenerative diseases.

Randall Wisser
Email | (302) 831-1356

Plant and Fungal Genetics
http://ag.udel.edu/plsc/faculty/wisser.html

The Wisser plant breeding and genetics lab studies complex or quantitative trait variation as it applies to crop improvement. Investigations are centered on the genetics and biology of response to selection, environmental adaptation and disease resistance. Our laboratory provides a setting for students and professionals to explore biological questions relevant to plant improvement while developing fundamental skills in the fields of genetics, breeding, statistics, bioinformatics and molecular biology through a combination of field, laboratory and computational experimentation.

Eric Wommack
Email | (302) 831-4362

Microbial Ecology, viral ecology, metagenomics, genomics, molecular biology, bioinformatics
http://www.virusecology.org/MOVE/Home.html

Cathy Wu
Email | (302) 831-8869

Computational Systems Biology, Protein Structure and Function, Biological Text Mining and Ontology, Bioinformatics Cyberinfrastructure
http://bioinformatics.udel.edu/People/Cathy_Wu

Changqing Wu
Email | 302-831-3029

I am a food chemist and food toxicologist. My research has focused on the characterization and application of bioactive compounds. Specifically, my efforts have focused on three areas: 1) Evaluation of toxicities and endocrine disruption potential for natural bioactive compounds and newly synthesized chemicals 2) improvement of human and animal health by dietary bioactive compounds 3) enhancing food safety and quality through the novel application of antimicrobials or pulsed light technology. These focus areas represent an excellent balance between basic and applied research.

Jingyi Yu
Email | (302) 831-0345

Computer Graphics, Computer Vision, Image and Video Processing, Novel Camera Designs
http://www.cis.udel.edu/~yu/

Ryan Zurakowski
Email | (302) 831-0331

Biomedical Engineering, Mathematical Biology, Evolutionary Modeling
http://sites.udel.edu/ryanz/

Ross Chambers
Email |

Mike Chen
Email |

Recombinant proteins for Therapeutic Drug targets. Cell culture in variety of expression systems.
www.acrobiosystems.com

Mike Chen received his Masters in Bioengineering from Shaanxi University of Science and Technology. Prior to starting ACROBiosysems, Mike worked for Life Technologies and Thermo Fisher as cell culture specialist for industrial scale cell culture process and application development. MIke Chen has over 15 years of experience in the biotechnology and pharmaceutical industry leading projects for recombinant product and application development, large scale cell culture manufacturing process development and implementation, quality ptogtrams for operational excellence. Areas of particular strength include: large scale cell culture process development, cell culture medium development and optimization, organization strategy development in global wide market, team management, leadership and entrepreneurship training.

Tze Chiam
Email |

Healthcare optimization, complex system control
https://research.christianacare.org/valueinstitute/people/tze-chiam-ph-d-ms/

Dr. Chiam is the Director of Health Systems Optimization at the Value Institute, ChristianaCare. He directs a team with quantitative and qualitative background in industrial engineering, data science, and human factors to develop insights and approaches to optimize patient safety, flow, access to healthcare and experience. During the COVID-19 pandemic in 2020, he led multiple cross-functional teams to develop predictive models for COVID-19 and non-COVID inpatient and outpatient volumes to inform hospital resources allocation, as well as financial prediction model to provide insights on the impact of pandemic on hospital finances. Prior to Christiana Care, he was involved in applied operations research at UMass Memorial Healthcare where he created and managed the Department of Business Intelligence and Research. His research interests include multimethod approach to optimize and control complex systems. Dr. Chiam received his PhD in Industrial Engineering from Purdue University.

Anastasia Christianson
Email |

Anastasia Christianson received her Ph.D. in Biological Chemistry from the University of Pennsylvania followed by postdoctoral training in Cellular and Developmental Biology at Harvard University. She has over 20 years experience in the biotechnology and pharmaceutical industry working in both Discovery and Development leading projects, managing complex portfolios, driving change programs, identifying opportunities for strategic initiatives, and translating scientific and medical questions into innovative solutions. Areas of particular strength include: strategy development and implementation, translational medicine, biomedical and health informatics, evidence-based decision makings, scientific and competitive intelligence, and "Big Data" exploitation.

Karthik Devarajan
Email |

Dr. Devarajan is an Associate Research Professor in the Department of Biostatistics & Bioinformatics at Fox Chase Cancer Center (FCCC) and an affiliated faculty member in the Center for High-dimensional Statistics at Temple University's Big Data Institute. His primary research interests encompass statistical machine learning & data science with applications in bioinformatics, neuroscience, medicine & natural language processing. It spans unsupervised and supervised learning, as well as survival analysis, and primarily focuses on the development of statistical and computational approaches to analyze massive data sets generated in these areas. Dr. Devarajan is a member of the Research Review Committee and serves as the Vice Chair of the Data Safety and Monitoring Board at FCCC. Prior to joining FCCC, Dr. Devarajan held research positions at Bristol-Myers Squibb Pharmaceutical Research Institute in Princeton, NJ and the Cancer Bioinformatics Group at AstraZeneca Pharmaceuticals in Boston.

Claudine Jurkovitz
Email |

Health Services Research, Epidemiology of Chronic Diseases
https://research.christianacare.org/valueinstitute/

Claudine Jurkovitz, MD, MPH, is Director of Clinical Research in the Value Institute at Christiana Care and lead of the Biostatistics Epidemiology Research Design (BERD) core of the Delaware ACCEL-Center for Translational Research (CTR). As such she helps Physicians, Residents and young Investigators at Christiana Care and other ACCEL-CTR Institutions to develop their research projects and analytical plan. She is also Director of the INBRE Centralized Research Support Network (CRSN), which goal is to develop mechanisms to leverage existing infrastructure such as the Delaware ACCEL-CTR with expertise in epidemiology, study design, biostatistics, community-based participatory research and patient engagement and to make these services available to the INBRE network's biomedical investigators. As a Nephrologist Epidemiologist, Dr. Jurkovitz has actively developed her own research interests, mostly in the field of chronic kidney disease (CKD) and health services research.

Venu (Kal) Kalavacharla
Email |

Plant biology, Plant Molecular Genetics, Plant Abiotic and Biotic stresses, Genomics, Transcriptomics, and Epigenomics.
http://ciber.desu.edu/

The Kalavacharla group's current research broadly focuses on epigenetic regulation in plants. We are particularly interested in transcriptomic and epigenomic responses of plants to biotic and abiotic stresses. Using molecular genetics, genomics, and bioinformatics, our group has developed plant resources for a better understanding of complex crop plant genomes. In the long run, we seek to identify regulatory mechanisms of control of gene expression, intersection of genes and pathways in plants that respond to abiotic and biotic stresses, and developing integrated genome wide maps that contain genome, transcriptome, and epigenomic information. Additionally, research by the Kalavacharla group focuses on identifying and elucidating histone and DNA modifying enzymes and their regulation.

E. Anders Kolb
Email |

In the past 10 years we have seen an explosion of new therapies and new approaches to cancer treatments. Few of these breakthroughs have benefited children to a significant degree. It is time to consider a new paradigm; to treat childhood cancers as singular diseases worthy of the same focused investment as each adult cancer. In the Nemours Cancer Therapeutics Laboratory, we are developing new models of cancer that reflect the specific behavior of cancer in children (phenotype) and the specific and diverse molecular variants of childhood cancers (genotype). The genotype and phenotype of childhood cancers are specific and predict response to therapy and survival. They may also ultimately be used to identify new therapies.

Bennett Levitan
Email | (609) 730-3359

My interests are in technical methods and practical processes for benefit-risk assessment of pharmaceuticals and other medical treatments. My work includes development and application of formal decision analytic techniques (e.g. multi-criteria decision analysis) as well as informal decision-making processes in both individual and group settings, the use of stated choice studies (e.g. conjoint analysis, best-worst scaling) to assess physician and patient preferences for benefits and harms, and the use of clear high-dimensional data visualization techniques to communicate complex assessments. My prior research dealt with organizational learning, evolutionary-based optimization, high-dimensional data visualization, and combinatorial chemistry.

Qingliang (Leon) Li
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Computational Biology/Chemistry, including molecular docking/scoring, virtual screening, molecular dynamics simulation, drug repurposing; Bioinformatics and Cheminformatics; Data Mining; High performance computing.

Sherri Matis-Mitchell
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Most of my current research interests fall under the broad heading of knowledge engineering. My current project involves the use of social media for understanding unmet patient needs and improving patient education and awareness within the health care system. Specifically I am looking at patient sentiment using social media analytics and sentiment analysis. This brings together many of my skills and interests in genomics, pharmacology, toxicology, text analytics and supervised learning. I am interested in the applications of text analytics to problems in bio, clinical, medical informatics including information extraction from EHRs and patient records and development of vocabularies that support the linkage of information, like a personal genome, while maintaining privacy.

Plant Genomics, Bioinformatics
https://www.danforthcenter.org/scientists-research/principal-investigators/blake-meyers

The primary emphasis of the Meyers lab is the analysis of small RNAs in plants. With our many collaborators, we have pioneered genomic analysis of small RNAs and their targets, working with "next-gen" sequencing technologies nearly since their invention. The Meyers lab continues to develop and apply novel informatics approaches for the analysis of RNA function in plants.

Surekha Mudivarthy
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Probability, Multivariate, Statistical ML

BINF601: Introduction to Data Science course instructor
I have extensive biostatisticial experience in clinical trials in medical devices and pharmaceutical industry. Therapeutic areas of experience include cardiovascular (stents), central nervous system (sleep disorders, Alzheimers, depression and bipolar) and immunology (psoriasis, psoriatic arthritis, rheumatoid arthritis and ankylosing spondylitis). Statistical consultant for academia as well as industry.

Dr. Papas received her doctoral degree in epidemiology from Johns Hopkins University. Dr. Papas has authored over 30 peer reviewed articles investigating the built environment and adolescent overweight, growth rates among children with early growth deficiency, dietary habits of inner-city adolescent mothers, the influence of pain on adherence to mammography screening guidelines, and food insecurity in Hispanic families. Dr. Papas' expertise includes study designs, the assessment of screening tools, the analysis of longitudinal data, and the use of GIS in understanding the effect of place on health and health behaviors.

Jae Sly
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Immuno oncology assays and TCR/BCR repertoire screening
www.acrobiosystems.com

Jae has over 20 years in the Biopharmaceutical Industry, from R&D to Clinic. Majority of experience working with expressions systems, new cell technologies, immunoassay design and development, immuno oncology targets, and antibody development. Jae has a PhD in Immunology and a MBA.

Tomasz G. Smolinski
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Tomasz G. Smolinski is an assistant professor in the Department of Computer and Information Sciences at Delaware State University, and the head of the Computational Intelligence and Bio(logical)informatics Laboratory (CIBiL). At CIBiL, Dr. Smolinski and his "CIBiLings" apply various computational intelligence methods (e.g., evolutionary algorithms, artificial neural networks, rough sets, fuzzy logic, etc.) to solve complex problems in the broadly defined field of biological sciences, with the use of parallel and high performance computing techniques. The projects at CIBiL range from exploration and visualization of large parameter spaces of neuronal models, through assembly and analysis of plant transcriptomes, to annotation of amino-acid sequences for protein function prediction.

Michela Taufer
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Grid Computing, Cloud Computing, Parallel Algorithms on Hybrid Computing Platforms (multi-cores, GPUs)
https://globalcomputing.group/about.html

Xiaoke Zhang
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Functional data analysis, longitudinal data analysis, smoothing, dimension reduction, statistical learning, and neuroimaging (EEG, fMRI).
https://sites.google.com/a/udel.edu/xkzhang/home

Zugui Zhang
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Dr. Zhang has worked extensively in medical studies related to cardiology, cancer research, environmental health, and precision medicine focusing on the genetic risk and coronary heart disease. He conducted comprehensive researches in both clinical trials and large observational studies. The areas he has the greatest interests are: microarray data analysis, survival data analysis, longitudinal data analysis, Bayesian Analysis, and health economics, including cost-effectiveness analyses and quality of life.