​Computational and Systems Biology Faculty

   
Page    of 1
  • Maxim Artyomov, Ph.D. - Systems immunology using high-throughput next-generation sequencing in conjunction with mathematical and statistical modeling approaches rooted in statistical physics
  • Megan T. Baldridge, M.D., Ph.D. - Defining the mechanisms behind and effects of the interactions between commensal bacteria, pathogens and innate immunity
  • Ivan Baxter, Ph.D. - We use High-thoughput elemental profiling to understand how plants adapt to their soil environment
  • Arpita Bose, Ph.D. - Microbial metabolisms and their influence on biogeochemical cycling
  • Gregory R. Bowman, Ph.D. - Combining simulation and experiment to understand protein conformational changes, their role in signaling, and opportunities they present for drug design
  • Michael R. Brent, Ph.D. - Systems biology, transcriptional regulatory networks, network inference, yeast
  • Thomas Brutnell, Ph.D. - Using the model systems Setaria viridis, maize and rice to understand and engineer C4 photosynthesis
  • Jeremy D. Buhler, Ph.D. - Developing algorithms and architectures for large-scale biosequence comparison, genome annotation, and metagenomics
  • Bruce A. Carlson, Ph.D. - Sensory and Evolutionary Neuroscience
  • Anders E. Carlsson, Ph.D. - Simulation and theory of force generation by actin polymerization
  • Barak A. Cohen, Ph.D. - Genomic analyses of regulatory networks, Non-coding disease variants
  • Donald F. Conrad, Ph.D. - human genetics, SNP genotypes, DNA capture arrays, sequencing data, epidemiology, chromosome structure
  • Joseph C. Corbo, M.D., Ph.D. - (1) transcriptional networks in the retina; (2) the mechanistic basis of color vision; (3) the cis-regulatory basis of human uniqueness and neuropsychiatric disease
  • Sharon Cresci, M.D. - Genetic variation in the variable response to pharmacologic treatment (i.e. Pharmacogenomics) of cardiovascular disease; specifically individuals with both diabetes mellitus and coronary artery disease.
  • Gautam Dantas, Ph.D. - (1) Dynamics, ecology, and evolution of antibiotic resistance, (2) Engineering enhanced probiotics to treat GI disorders, (3) Engineering microbial biofuel catalysts
  • Li Ding, Ph.D. - Cancer genomics and proteomics
  • Joseph D. Dougherty, Ph.D. - Human Psychiatric Genetics, Mouse Models, Cell Type Specific Gene Expression Profiling.
  • John R. Edwards, Ph.D. - Understanding epigenomic abnormalities in breast cancer
  • Jeffrey I. Gordon, M.D. - Role of the human gut microbiome in health and disease, notably childhood undernutrition and obesity
  • Malachi Griffith, Ph.D. - Improving our understanding of human disease biology and the development of personalized medicine strategies using genomics and informatics technologies
  • Obi L. Griffith, Ph.D. - Development of personalized medicine strategies for cancer using genomic technologies
  • Ira M. Hall, Ph.D. - We use high-throughput methods to study the causes and consequences of genome variation in mammals
  • James J. Havranek, Ph.D. - Structural modeling, experimental characterization, and engineering of protein-DNA interactions
  • Keith B. Hengen, Ph.D. - We take a "big data" approach to understanding the self-organization of neurons and networks in behaving animals.
  • Timothy E. Holy, Ph.D. - Sensory processing and plasticity (olfaction), large-population calcium imaging, computation, social communication
  • Michael Hughes, Ph.D. - Our laboratory studies circadian rhythms as a model to better understand how the nervous system regulates behavior and physiology
  • Andrew L. Kau, M.D., Ph.D. - Understanding the immune-modifying capacity of gastrointestinal and airway microbes through the lens of allergy
  • Eynav Klechevsky, Ph.D. - Human Dendritic Cell biology and Novel vaccines
  • Sebla B. Kutluay, Ph.D. - Regulation of human immunodeficiency virus replication by viral and host RNA-binding proteins
  • Albert M. Lai, Ph.D. - My research is in clinical research informatics, but I also have strong interest in other areas of clinical informatics, including usability of clinical and consumer-facing systems and mobile health
  • Heather A. Lawson, Ph.D. - Integration of whole-genome sequence with phenotypic data to understand parent-of-origin genetic effects and gene-by-environment interactions
  • Jr-Shin Li, Ph.D. - Control and optimization of large-scale complex systems with applications ranging from quantum mechanics and neuroscience to bioinformatics
  • Christopher Maher, Ph.D. - Understanding the role of long non-coding RNAs in solid tumors
  • Garland R. Marshall, Ph.D. - Molecular recognition is the key to drug design and the bioactive conformation.
  • Blake C. Meyers, Ph.D. - Analysis of small RNAs in plants
  • Rob Mitra, Ph.D. - Technology development for functional genomics and systems biology
  • Makedonka Mitreva, Ph.D. - Next-generation genomic and computational approaches to empower the study of infectious diseases and the human microbiome
  • Todd C. Mockler, Ph.D. - Elucidate the means to predict plant performance, responses, and behaviors from genetic/epigenetic/transcriptomic data across a range of environments
  • Tae Seok Moon, Ph.D. - Building the Future with Synthetic Biology
  • Samantha A. Morris, Ph.D. - The study of gene regulatory networks to dissect and engineer cell fate of clinically relevant tissues such as the liver
  • Shankar Mukherji, Ph.D. - Systems and synthetic cell biology: quantitative analysis of cellular organization
  • Indira U. Mysorekar, Ph.D. - Mechanisms of mucosal defenses in the urinary bladder and placenta
  • Kristen Naegle, Ph.D. - Integrated computational and experimental approaches to proteomic analysis of signaling network regulation and dysregulation of cellular physiology
  • Arye Nehorai, Ph.D. - Quantitative statistical signal processing and imaging
  • Rohit V. Pappu, Ph.D. - Biophysics of intrinsically disordered proteins
  • Gary Patti, Ph.D. - Elucidating metabolic pathways involved in neuropathic pain and aging that may serve as novel therapeutic targets
  • Philip Payne, Ph.D., FACMI - Translational Bioinformatics, Clinical Research Informatics
  • Tim R Peterson, Ph.D. - genomics, metabolomics, and the quantified self in aging and mental health
  • Zachary Pincus, Ph.D. - Understanding inter-individual variability living systems
  • David W. Piston, Ph.D. - Studies of the Molecular Pathways of Islet Hormone Secretion
  • Jay W. Ponder, Ph.D. - Computational chemistry, protein engineering, theoretical protein structure and folding
  • Michael A. Province, Ph.D. - Mathematical development of new statistical genetics methodology for complex traits
  • Barani Raman, Ph.D. - Systems analysis of neural information processing; bio-inspired sensors and algorithms
  • Eli Roberson, Ph.D. - Human genetics and RNA-Seq of inflammatory and autoimmune disease, particularly those with an overt skin phenotype
  • Nancy L. Saccone, Ph.D. - Statistical genetics, complex human diseases, analysis methods
  • Kooresh Isaac Shoghi, Ph.D. - Multi-disciplinary research spanning biology of disease mechanisms, engineering and imaging sciences & informatics
  • Jonathan R. Silva, Ph.D. - Predicting how changes in ion channel nano-conformations affect cell and organ electrophysiology
  • David H. Spencer, M.D., Ph.D. - My research program studies epigenetic gene regulation in cancer, with a specific emphasis on understanding how mutations in acute myeloid leukemia (AML) perturb the epigenome to alter gene expression and cause leukemia.
  • Sheila A. Stewart, Ph.D. - Examining the role the tumor microenvironment plays in immune modulation, tumor development, metastasis and dormancy
  • Nathan Stitziel, M.D., Ph.D. - To understand the genetic basis for cardiovascular disease and to leverage insights from this work to improve patient care.
  • Gary D. Stormo, Ph.D. - Computational biology, bioinformatics, protein-DNA interactions, gene regulation
  • Cristina de Guzman Strong, Ph.D. - Genomics of Skin Barrier: Development and Disease
  • S. Joshua Swamidass, M.D., Ph.D. - We computationally model drug metabolism to predict drug toxicity and design pediatric formulations.
  • Yinjie Tang, Ph.D. - Metabolism analysis and metabolic engineering of environmental microorganisms for biofuel/chemical production
  • Christopher N. Topp, Ph.D. - Subterranean phenotyping and characterizing the environmental and genetic factors that condition root growth
  • David Wang, Ph.D. - Discovery and Characterization of Novel Viruses
  • Ting Wang, Ph.D. - Epigenome evolution and epigenetic determinants of cell fate
  • Xiaowei Wang, Ph.D. - Combined computational and experimental analyses of microRNA functions
  • Fuzhong Zhang, Ph.D. - Engineering synthetic regulatory systems for metabolic control, design cellular biosensors, engineering new pathways for the production of pharmaceuticals, biofuels, and chemicals.
  • Weixiong Zhang, Ph.D. - Computational approaches to elucidating transcriptional and post-transcriptional gene regulation underlying complex human diseases and plant stress tolerance
   
Page    of 1

Follow us: