Biomedical Informatics and Data Science​ Faculty


   
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  • Beau Ances, M.D., Ph.D. - Characterization of Dementia (HIV associated neurocognitive disorders (HAND) and Alzheimer`s Disease (AD) using functional magnetic resonance imaging
  • 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 - the integration of MRI and PET using simultaneous acquisition (combined PET-MRI scanning) in both Alzheimer’s disease and brain tumor research
  • Mikhail Berezin, Ph.D. - Investigation the mechanism of peripheral neuropathies
  • Janine D. Bijsterbosch, Ph.D. - My research program focuses on studying connectivity networks in the human brain using advanced MRI imageanalysis methods
  • Kevin J. Black, M.D. - (1) Tourette syndrome neuroimaging; (2) Parkinson disease pharmacological imaging; (3) mapping effects of deep brain stimulation (DBS)
  • Pablo M. Blazquez, Ph.D. - Function of the Cerebellar-brainstem loop in motor control, spatial navigation and motor learning
  • Yin Cao, Sc.D., MPH - Novel lifestyle, microbial, and genetic risk factors for gastrointestinal cancers leveraging large-scale clinical and population-based cohorts with deep genetic and phenotypic data
  • 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
  • Katherine C. Fuh, M.D., Ph.D. - Identifying pathways involved in metastasis in the context of incorporating the tumor microenvironment of ovarian cancer
  • 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
  • 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
  • Daniel C. Link, M.D. - Molecular regulation of normal and malignant hematopoiesis
  • Nupam P. Mahajan, Ph.D. - How tyrosine phosphorylation regulates epigenetic processes that affect cellular homeostasis and cancer cell survival
  • 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
  • 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
  • Brad A. Racette, M.D. - Environmental risk factors for Parkinson disease and pathophysiology of Mn induced neurotoxicity
  • 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
  • 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.
  • Christopher N. Topp, Ph.D. - Understanding the genetic basis of root growth and environmental plasticity using phenomics
  • Elizabeth L. Yanik, Ph.D. - Discovering new insights into the etiology and progression of rotator cuff disease in order to directly inform clinical decision-making and prevention approaches.
  • Zhongsheng You, Ph.D. - DNA and RNA surveillance systems and their relation to cancer formation and treatment
   
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