Biomedical Informatics and Data Science​ Faculty


   
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  • Joanna Abraham, Ph.D. - Improving collaborative practices in healthcare using principles and techniques from informatics to promote patient safety, quality and care continuity
  • Beau Ances, M.D., Ph.D. - Characterization of Dementia (HIV associated neurocognitive disorders (HAND) and Alzheimer`s Disease (AD) using functional magnetic resonance imaging
  • Dustin Baldridge, M.D.,Ph.D. - Utilizing the power of genetics to elucidate the molecular pathogenesis of disease and transform patient care
  • Dennis L. Barbour, M.D., Ph.D. - Sensation, perception and cognitive processing of sounds and speech
  • Randall J. Bateman, M.D. - Alzheimer disease pathophysiology
  • Yehuda Ben-Shahar, Ph.D. - Molecular, cellular, genetic and evolutionary mechanisms of behavior
  • Tammie L.S. Benzinger, MD, Ph.D - Novel neuroimaging approaches to study aging and Alzheimer's disease.
  • Mikhail Berezin, Ph.D. - Investigation the mechanism of peripheral neuropathies
  • Laura J. Bierut, M.D. - Family and genetic studies of psychiatric illnesses and substance dependence (alcoholism, smoking, and cocaine dependence)
  • Janine D. Bijsterbosch, Ph.D. - Computational neuroimaging to study the human connectome in health & disease
  • Kevin J. Black, M.D. - (1) Tourette syndrome neuroimaging; (2) Parkinson disease pharmacological imaging; (3) pharmacological activation neuroimaging
  • Yin Cao, Sc.D., MPH - Novel lifestyle, microbial, and genetic risk factors for lung and gastrointestinal cancers leveraging large-scale clinical and population-based cohorts with deep genetic and phenotypic data
  • Su-Hsin Chang, Ph.D. - Health and economic burden of obesity and surgical treatments of obesity, transplant outcomes, multiple myeloma prevention and control, and health disparities.
  • Graham A. Colditz, M.D., Dr.P.H. - Causes and prevention of chronic disease, particularly among women
  • Carlos Cruchaga, Ph.D. - The goal of my lab is to understand the biology of neurodegeneration by using high-dimensional omic data and functional genomic approaches.
  • Nicholas O. Davidson, M.D. - Mammalian gene expression: Regulation through mRNA editing and RNA stabilization
  • Sabine Dietmann, Ph.D. - Developing integrative multi-omics and machine learning techniques for single-cell data sets in developmental biology and medicine
  • Randi E. Foraker, Ph.D. - Focused on applying epidemiology and informatics techniques to solve problems in the population health domain
  • Aimilia Gastounioti, Ph.D. - Translational research in the intersection of computational breast imaging, artificial intelligence, and informatics towards improving breast cancer screening
  • Dennis Goldfarb, Ph.D. - Computational mass spectrometry and proteomics
  • Brian A. Gordon, Ph.D. - Neuroimaging to better understand the brain in vivo
  • 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
  • C. Charles Gu, Ph.D. - Statistical genetics and bioinformatics, high-dimensional data analysis and complex systems modeling, developing novel methodologies for detecting complex disease genes and characterizing their function
  • Oscar M. Harari, Ph.D. - Identification of "omics" (proteomic, transcriptomic and genetic) factors associated with neurodegeneration
  • Andrew C. Heath, D.Phil. - Genetic studies of alcoholism, smoking and drug dependence, depression, suicidality and anxiety disorders, personality disorders, and methodological research in genetic epidemiology
  • Jason M. Held, Ph.D. - Redox biochemistry in cell signaling and disease, Proteomics
  • Erik D. Herzog, Ph.D. - Molecular, cellular and circuit analysis of circadian rhythms in mammals
  • Sanjay Jain, M.D., Ph.D. - Interactions between the nervous and genitourinary systems during development, molecular basis for heterogeneity in progenitors and their lineage commitments in the GU tract, injury and regeneration using animal models, mechanisms of malformations using organoids from iPSCs
  • Shu (Joy) Jiang, Ph.D. - Development of novel statistical methods for precision medicine
  • Thomas G. Kannampallil, Ph.D. - Integrating cognitive, behavioral, and computational informatics techniques for developing health information technology solutions in the areas of clinical decision support, clinical reasoning, and clinical workflow
  • 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
  • Fuhai Li, Ph.D. - Integrative large-scale pharmaco genomics analysis for target, signaling network, drug and drug combination discovery. Genomics data driven tumor-stromal communication discovery and modeling.
  • Jr-Shin Li, Ph.D. - Control and optimization of large-scale complex systems with applications ranging from quantum mechanics and neuroscience to bioinformatics
  • Lei Liu, Ph.D. - Focused on the analysis of high dimensional omics (epigenetics and microbiome) data, subgroup identification, medical cost data, and joint models of multi-outcome data
  • Ben Major, Ph.D. - Studying how perturbation of specific signal transduction pathways contributes to the initiation, progression and dissemination of cancer
  • Daniel Marcus, Ph.D.
  • Shamim Mollah, Ph.D. - Interpret and distill the complexity of cancer and other rare diseases through integration of large scale multi-omics data, special emphasis on phospho signaling pathways and post translational modification of histones
  • Samantha A. Morris, Ph.D. - Developing new single-cell technologies to create high-resolution maps of lineage and identity; Manipulating gene regulatory networks, via direct lineage reprogramming, to generate clinically valuable cell types
  • Arye Nehorai, Ph.D. - Quantitative statistical signal processing and imaging
  • Gary Patti, Ph.D. - To understand the metabolic crosstalk between cells and tissues in disease models such as cancer by using isotopes and metabolomics
  • Philip Payne, Ph.D., FACMI - Translational Bioinformatics, Clinical Research Informatics
  • Jacqueline Elise Payton, M.D., Ph.D. - Epigenomic aberrations in B cell lymphomas and their impact on gene regulation
  • Tim R Peterson, Ph.D. - genomics, metabolomics, and the quantified self in aging and mental health
  • David W. Piston, Ph.D. - Studies of the Molecular Pathways of Islet Hormone Secretion
  • Michael A. Province, Ph.D. - Mathematical development of new statistical genetics methodology for complex traits
  • John R. Pruett, Jr., M.D., Ph.D. - The neuroscience of ASD, social cognition and comparative cognition
  • D.C. Rao, Ph.D. - Statistical genetic analysis of cardiovascular disease traits using GxG and GxE interactions
  • John P. Rice, Ph.D. - Statistical genetics; complex disease genetics; methods in statistical genetics
  • Eli Roberson, Ph.D. - Using bench molecular biology, high-throughput sequencing, and bioinformatics to understand human inflammatory / autoimmune disease.
  • Naresha Saligrama, PhD - Adaptive immune responses in neuroinflammatory, neurodegenerative, and neuropsychiatric diseases
  • Leonid Shmuylovich, M.D.,Ph.D. - Develop optical imaging technologies that address clinical problems with a focus on dermatology
  • Jonathan R. Silva, Ph.D. - Engineering to help cardiac arrhythmia patients feel better and live longer.
  • Aristeidis Sotiras, Ph.D. - Intersection of medical image processing, machine learning, data science, and computational neuroscience
  • Nathan Stitziel, M.D., Ph.D. - We try understand the inherited basis underlying cardiovascular disease and leverage insights from our work to improve patient care.
  • Siobhan Sutcliffe, Ph.D., Sc.M., M.H.S. - Infectious causes of cancer and chronic diseases
  • S. Joshua Swamidass, M.D., Ph.D. - We computationally model drug metabolism to predict drug toxicity and design pediatric formulations.
  • Gaia Tavoni, Ph.D. - Applying concepts and methods from statistical physics and mathematics to the study of the brain
  • Christopher N. Topp, Ph.D. - Understanding the genetic basis of root growth and environmental plasticity using phenomics
  • Leyao Wang, Ph.D., MPH - Microbiome, Environment, Pathogenesis of Respiratory Health
  • Muriah Wheelock, Ph.D. - Elucidating the biological pathways underlying cognition, emotion, and behavior, determining developmental deviations and degenerative processes in these pathways
  • Elizabeth L. Yanik, Ph.D. - My research is focused on investigating the genetic determinants of under-studied musculoskeletal phenotypes, determining the impact of occupational burdens on musculoskeletal disease, and understanding interactions between genetic and non-genetic risk factors for musculoskeletal disease.
  • Po-Yin Yen, Ph.D. - Focused on applied clinical informatics research to support clinicians adapting to health information technology
  • Jin Zhang, Ph.D., MPHS - Deep learning; Multi-omics; Translational cancer research
   
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