Primary Faculty
![Isabel Elaine Allen](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/isabel-elaine-allen.jpg?itok=nhQo5uhV)
Isabel Elaine Allen, PhD, MS
Professor
[email protected]
Research Area(s):
- Biostatistics
- Machine Learning
- Research Methods in Epidemiology
- 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
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/capra.jpeg?itok=V0Y57m5t)
John A. ("Tony") Capra, PhD
Associate Professor
[email protected]
Research Area(s):
- Bioinformatics
- Machine Learning
- using the tools of computer science and statistics to address problems in genetics, evolution, and biomedicine
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/headshot%281%29.png?itok=gl5tS4BV)
Jean Feng, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Machine Learning
- Machine learning, Statistical computing, High-dimensional data
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/gennatas.jpg?itok=sj8Y7drX)
Efstathios (Stathis) D. Gennatas, MBBS, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Machine Learning
- 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](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/thomas-hoffmann.jpg?itok=ey2Fhf6P)
Thomas Hoffmann, PhD, MA
Professor
[email protected]
Research Area(s):
- Biostatistics
- Cancer Epidemiology
- Genetic Epidemiology
- Machine Learning
- Biostatistics, Public health, Human genetics, Statistical genetics, High-dimensional data, Statistical computing, Machine learning, Image classification, Age-related hearing impairment, Cardiovascular disease, Cancer
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/hswen_0.jpg?itok=T65VI35o)
Yulin Hswen, ScD, MPH
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Machine Learning
- Social Epidemiology
- Computational epidemiology, health disparities, natural language processing, social media, structural racism, social determinants of health, digital interventions, digital phenotyping, algorithmic bias, societal health
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/jiang.jpeg?itok=pPCDrFgp)
Fei Jiang, PhD, MS
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Machine Learning
- 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](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/Michael-Kohn.jpg?itok=zkoOyHgC)
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
- 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](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/Mark%20Segal.jpg?itok=TwK5sCPn)
Mark Segal, PhD
Professor (recall)
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- Bioinformatics, genetics
![](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/thumbnail_Torgerson_headshot.jpg?itok=jqrkfoSm)
Dara Torgerson, PhD
Associate Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Genetic Epidemiology
- Lifecourse
- Machine Learning
- Reproductive, Perinatal and Neonatal Epidemiology
- Social Epidemiology
- Integrative Genomics, Metabolomics, Statistical Genetics, Minority Health, Neonatology, Respiratory Outcomes
Emeritus Faculty
![Elaine Allen](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/Isabel_elaine_allen%20.jpg?itok=4ANkHQsy)
Isabel Elaine Allen, PhD, MS
Professor
[email protected]
Research Area(s):
- Biostatistics
- Machine Learning
- Research Methods in Epidemiology
- 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
![Mark Segal, professor at UCSF Department of Epidemiology & Biostatistics](https://epibiostat.ucsf.edu/sites/g/files/tkssra2066/f/styles/150x150/public/Mark%20Segal_0.jpg?itok=pK3ttz2Q)
Mark Segal, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- Bioinformatics, genetics