Assistant Professor, Department of Population Health
I am an assistant professor in the Division of Biostatistics within the Department of Population Health at NYU Grossman School of Medicine.
My methodological background is in Bayesian statistics, with particular focus on latent variable modeling. I am interested in statistical social network analysis, causal inference, and predictive machine-learning methods using electronic health records. In terms of collaborative research, my work has focused on public health, Alzheimer’s disease, education policy, cardiovascular medicine, and—more recently—on mobile health.
I am also interested in developing efficient algorithms for implementing statistical models, and have co-created statistical R-packages “HLSM” and “CIDnetworks”, both available for free in CRAN. My codes are also available in my GitHub page.
My methodological work is essentially motivated by application, and I am always interested in learning about new areas of collaboration.
PhD from Carnegie Mellon University
Harvard Medical School, Department of Healthcare Policy
Statistics in medicine. 2019 May 30; 38(12):2184-2205
NPJ digital medicine. 2019; 2:46
Educational evaluation & policy analysis. 2018; 40(4):586-612
New England journal of medicine. 2020 06 18; 382(25):2441-2448
Psychometrika. 2020 Jun; 85(2):251-274
Journal of the American Statistical Association. 2019 Jan 01; ?-?