Faculty

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.

John McGready, PhD '08, ScM, shares the joy, importance, and utility of biostatistics with students, and works closely with faculty and clinicians on public-health research.

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

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

Karen Bandeen-Roche, PhD, MS, creates statistical reasoning needed to learn how we can lengthen healthy life and increase independence for older adults.

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

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

Marie Diener-West, PhD ’84, Chair of MPH Program and Professor of Biostatistics, teaches and collaborates in the design, conduct, and analysis of multicenter clinical trials.

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

Mary Joy Argo ensures the high quality of Biostatistics graduate programs and the quality of the student experience.

Mei-Cheng Wang, PhD, develops analytical methods for time-to-event data, recurrent events, and recurrent marker processes, with applications for follow-up and longitudinal studies.

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

Ni Zhao, MS, MD, PhD, develops statistical and computational methodologies for analyzing large scale "omics" data generated from high throughput technologies, including metagenomics, genomics, and others.

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