Primary Faculty
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
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
Jean Feng, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Machine Learning
- Machine learning, Statistical computing, High-dimensional data
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, 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
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
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 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, PhD
Professor
Recall appointment
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- 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
- Integrative Genomics, Metabolomics, Statistical Genetics, Minority Health, Neonatology, Respiratory Outcomes
Emeritus Faculty
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, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- Bioinformatics, genetics