Primary Faculty

Henrik Bengtsson, PhD, MS
Associate Professor
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology

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

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



Katherine Pollard, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Bioinformatics methods for comparative analysis of massive biological datasets, with a focus on genomics and other transformative technologies

Mark Segal, PhD
Professor (recall)
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- Bioinformatics, genetics

Catherine Ines Tcheandjieu Gueliatcha, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Global Health

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
Secondary Faculty


Alisha Holloway, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Comparative genomics and statistical analysis of high-throughput sequence data; using comparative and population genomics to understand the evolution of mammalian traits and of gene regulatory networks in developing vertebrate hearts

Karla Lindquist, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Biostatistics
- Genetic Epidemiology
- Clinical Epidemiology and Methods, Cancer Genomics

Annette Molinaro, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Statistical genetics and computational biology, including prediction, survival analysis and classification with additional curiosities in cancer epidemiology and in the estimation of absolute risk in stratified case-cohort studies


Sean Thomas, PhD
Assistant Professor
[email protected]
Research Area(s):
- Bioinformatics
- Regulation of gene expression, bioinformatics, genomics, computational biology, epigenetics, chromatin structure, stem cell differentiation, organismal development
Affiliate Faculty

Saunak Sen, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Statistical genetics in model organisms, admixed populations, and high-dimensional data

Jun Song, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Application of the next generation sequencing technology to study interactions among transcription factors, non-coding RNAs and chromatin structure

Emeritus Faculty

Mark Segal, PhD
Professor
[email protected]
Research Area(s):
- Bioinformatics
- Genetic Epidemiology
- Machine Learning
- Bioinformatics, genetics