Faculty

Primary Faculty

Elaine Allen
Isabel Elaine Allen, PhD, MS
Professor
Research Area(s):
  • Biostatistics
    Machine Learning
    Research Methods in Epidemiology
Research Interests:
  • Meta analysis, data science, longitudinal data analysis, statistical genetics, Bayesian statistics

John A. ("Tony") Capra, PhD
Associate Professor
Research Area(s):
  • Bioinformatics
    Machine Learning
Research Interests:
  • using the tools of computer science and statistics to address problems in genetics, evolution, and biomedicine

Jean Feng, PhD
Assistant Professor
Research Area(s):
  • Bioinformatics
    Biostatistics
    Machine Learning
Research Interests:
  • Machine learning, Statistical computing, High-dimensional data

Efstathios (Stathis) D. Gennatas, MBBS, PhD
Assistant Professor
Research Area(s):
  • Bioinformatics
    Biostatistics
    Machine Learning
Research Interests:
  • Neuroscience, neuroimaging, brain development, neurodegenerative disease, neurology, psychiatry, oncology; applied health data science for basic biomedical research and clinical applications; Machine learning research for precision medicine: multimodal data analysis, interpretability, trustworthiness, fairness in predictive modeling, data science and visualization software development

Yulin Hswen, ScD, MPH
Assistant Professor
Research Area(s):
  • Bioinformatics
    Biostatistics
    Machine Learning
    Social Epidemiology
Research Interests:
  • Computational epidemiology, health disparities, natural language processing, social media, structural racism, social determinants of health, digital interventions, digital phenotyping, algorithmic bias, societal health

Fei Jiang, PhD, MS
Assistant Professor
Research Area(s):
  • Bioinformatics
    Biostatistics
    Machine Learning
Research Interests:
  • machine learning methods; high dimensional models; functional data analysis and their applications in analyzing neurological, image, genetics data; adaptive randomization clinical trials

Michael Kohn, professor in UCSF Dept. of Epidemiology and Biostatistics
Michael A. Kohn, MD, MPP
Professor
Research Area(s):
  • Clinical Epidemiology and Methods
    Epidemiology of Cardiovascular and Neurological Disorders
    Machine Learning
    Research Methods in Epidemiology
Research Interests:
  • Diagnostic and prognostic testing for stroke, myocardial infarction, sepsis, and other emergency conditions; expert on database management for clinical research

Mark Segal, professor at UCSF Department of Epidemiology & Biostatistics
Mark Segal, PhD
Professor
Research Area(s):
  • Bioinformatics
    Genetic Epidemiology
    Machine Learning
Research Interests:
  • Bioinformatics, genetics

Dara Torgerson, PhD
Associate Professor
Research Area(s):
  • Bioinformatics
    Biostatistics
    Genetic Epidemiology
    Lifecourse
    Machine Learning
    Reproductive, Perinatal and Neonatal Epidemiology
    Social Epidemiology
Research Interests:
  • Integrative Genomics, Metabolomics, Statistical Genetics, Minority Health, Neonatology, Respiratory Outcomes