Our Population and Data Sciences focus houses three main disciplines: biostatistics, epidemiology, and population health

Biostatistics is a scientific discipline that generates novel approaches to study design and data analysis, with a focus on improving human health and health care. Our trainees develop innovations in methodology, theory, and application of biostatistical methods to the entire spectrum of basic, clinical, and translational biomedical research. Our faculty offers interdisciplinary instruction and research opportunities in statistical theory and methods in the biological sciences.

Students studying epidemiology receive mentoring and training in the theory and methods of epidemiology, including study design, measurement, and causal inference, to examine the distribution and determinants of health in human populations. Our faculty’s expertise spans the spectrum from molecular epidemiology to the study of social determinants of health.

Our population health trainees address the burden and multilevel determinants of health. Our faculty have research strengths in healthcare delivery science, epidemiologic methods, comparative effectiveness and decision science, implementation science, behavior change theory and practice, medical ethics, and health informatics. Students can participate in a wide range of ongoing municipal, national, and international studies focused on diverse facets of cardiovascular disease, opioid use and other substance use disorders, sexual and reproductive health, mental health, obesity, cancer, sleep health, and infectious diseases such as COVID-19 and HIV.

To look up faculty with research interests in these areas, please visit our faculty tool.

Curriculum

Electives in this discipline include the following:

Qualitative Research Methos for Population Health
Clinical Anatomy & Organ Systems
Computational Biostatistics
Clinical Trials and Study Design
Statistical Learning
Introduction to Bayesian Modeling
Causal Interference
Clinical Anatomy & Organ Systems
Longitudinal Trajectory Modeling
Translating Epidemiologic Research
Epidemiology of Cancer
Life Course Epidemiology
Molecular Epidemiology

To look up faculty with research interests in these areas, please visit our faculty tool.

To learn more about research in Population and Data Sciences at NYU Grossman School of Medicine, contact Robert Zehra at Robert.Zehra@NYULangone.org or one of our Pre-Candidacy Faculty Advisors (Bennett Allen, PhD, Ivan L.Diaz, PhD, Sahnah Lim, MPH, PhD, or Mengling Liu, PhD).

For general information about graduate programs at Vilcek Institute of Graduate Biomedical Sciences, email Vilcek-Info@NYULangone.org.