Faculty

Primary Faculty

Isabel Elaine Allen

Isabel Elaine Allen, PhD, MS
Professor
[email protected]

Research Area(s):

  • Biostatistics
  • Machine Learning
  • Research Methods in Epidemiology

Research Interests:
  • Analytics & Data Visualization, Meta-analysis & synthesis research, Clinical Research Design & Analysis, Biometrics, Biostatistics, big data, data analysis, data display, data science, data visualization, machine learning, patient-generated health data, patient-reported outcome measures


John A. ("Tony") Capra, PhD
Associate Professor
[email protected]

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
[email protected]

Research Area(s):

  • Bioinformatics
  • Biostatistics
  • Machine Learning

Research Interests:
  • Machine learning, Statistical computing, High-dimensional data


Efstathios (Stathis) D. Gennatas, MBBS, PhD
Assistant Professor
[email protected]

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


Thomas Hoffmann

Thomas Hoffmann, PhD, MA
Professor
[email protected]

Research Area(s):

  • Biostatistics
  • Cancer Epidemiology
  • Genetic Epidemiology
  • Machine Learning

Research Interests:
  • Biostatistics, Public health, Human genetics, Statistical genetics, High-dimensional data, Statistical computing, Machine learning, Image classification, Age-related hearing impairment, Cardiovascular disease, Cancer


Yulin Hswen, ScD, MPH
Assistant Professor
[email protected]

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
[email protected]

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
[email protected]

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
[email protected]

Research Area(s):

  • Bioinformatics
  • Genetic Epidemiology
  • Machine Learning

Research Interests:
  • Bioinformatics, genetics


Dara Torgerson, PhD
Associate Professor
[email protected]

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


Emeritus Faculty

Elaine Allen

Isabel Elaine Allen, PhD, MS
Professor
[email protected]

Research Area(s):

  • Biostatistics
  • Machine Learning
  • Research Methods in Epidemiology

Research Interests:
  • Analytics & Data Visualization, Meta-analysis & synthesis research, Clinical Research Design & Analysis, Biometrics, Biostatistics, big data, data analysis, data display, data science, data visualization, machine learning, patient-generated health data, patient-reported outcome measures