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
Annals of epidemiology. 2021 May 27; 61:1-7
Annals of the rheumatic diseases. 2021 May 25;
medRxiv : the preprint server for health sciences. 2021 May 12;
Journal of clinical psychiatry. 2021 04 20; 82(3):
Implementation science communications. 2021 Feb 17; 2(1):21