Faculty

Brian Caffo, PhD, MS, is a biostatistician who studies big, complex data in the neurosciences.

Ciprian Crainiceanu, PhD, MS, is a biostatistician who works on complex, high dimensional data obtained from wearable and implantable computing and neuroimaging studies.

Roger Peng, PhD, MS, develops data science and machine learning approaches to studying how the indoor and outdoor environment affects human health.

Nilanjan Chatterjee, PhD, MS, models disease risk associated with genetic, lifestyle, biomarkers. and other factors, with the goal of improving disease prevention.

Hongkai Ji, PhD, MA, ME, develops data science and statistical methods for analyzing high-throughput and single cell genomic data in order to study gene regulation.

Michael Rosenblum, PhD, MS, develops innovative clinical trial designs and open-source software to efficiently learn which treatments work best for which populations.

Martin Lindquist, MSc, PhD, works on mathematical and statistical problems relating to neuroimaging with a particular focus on functional Magnetic Resonance Imaging (fMRI) data.

Elizabeth Stuart, PhD, uses statistical methods to help learn about the effects of public health programs and policies, often with a focus on mental health and substance use.

Jiangxia Wang, MA, MS, teaches and provides statistical consulting to advance research in public health and medicine with a focus on studies in neurology and ophthalmology.

Margaret Taub, PhD, works collaboratively with clinicians and epidemiologists to use genetic and genomic data to understand the causes of complex diseases.

Weiqiang Zhou, PhD, develops statistical and computational tools for integrative analysis of large-scale genomic data to study gene regulation in cancer and immune system.

Josh Betz, MS, brings rigorous and reproducible quantitative methods to complex data sources, allowing researchers to address research challenges in public health,

John Muschelli, PhD '16, ScM '10, studies how biostatistics and data science can use neuroimaging and accelerometry data to improve clinical practice.

Kasper D. Hansen, PhD is an applied statistician who developed methods and software for high-throughput genomics and genetics.

Betsy Ogburn, PhD, MS, develops methods for causal inference with complex data, including social network data and data with unmeasured confounding or interference.