Usha Govindarajulu, PhD

Usha Govindarajulu is an Associate Professor in the Center for Biostatistics of the Department of Population Health Science and Policy at the Icahn School of Medicine at Mount Sinai.  Dr. Govindarajulu's major statistical research interests are in survival analysis and frailty models, as well as causal inference, machine learning, smoothing methods, genetic epidemiology, and non-parametrics. Her areas of medical expertise are in cardiology, allergy and immunology, infectious disease (HIV) , radiology, translational research, and most recently, psychiatry. She has also been involved in health disparities research. 

She is a Co-Editor of Computational Statistics, a Springer journal. She is also a member of the American Statistical Association since 1998 and is currently a Program Chair-Elect for the Section of Teaching of Statistics in the Health Sciences.

Dr Govindarajulu also currently teaches longitudinal data analysis but has also taught survival analysis, categorical data analysis, and statistical computing for many years. 

She has had interviews at the following links:

1)WebENAR: Role of Statisticians in a Pandemic | November 2020 WebENAR: https://player.vimeo.com/video/485482399

2)ASA Data Science in Action: https://statds.org/events/webinar_dsa2020/schedule.html

2)Public health minute:  https://soundcloud.com/publichealthminute/phm-learning-curves-govindarajulu

3) BBC interview:   https://vimeo.com/151702021

EDUCATION

Post-Doctoral: Harvard University, School of Public Health, Department of Biostatistics

PhD in Biostatistics: Boston University

MS in Biostatistics: George Washington University

MS in Natural Resources: University of Michigan

AB in Biology & Society: Cornell University