I'm an Assistant Professor in the Department of Biostatistics
at Johns Hopkins Bloomberg School of Public Health.
My research interests are diverse. My methodological interests include spatial and spatio-temporal statistics, Bayesian methods, high-dimensional data and small area estimation.
The methods research usually emerge from my collaborations with researchers in areas of air pollution, environmental health, forestry and climate modeling, epidemiology and international health.
Currently, I'm working on statistical methods for hyper-local air pollution, Bayesian calibration approaches for extremely small datasets, and software development for massive spatio-temporal data.
I have also recently got involved in applications of spatial statistics in neuroimaging
If you're interested in any of the areas and would like to discuss research or collaboration opportunities, feel free to email me or drop by my office.
- [July, 2018] Our R-package BRISC for fast inference of massive spatial data using bootstrap in now on CRAN
- [June, 2018] I received a Bloomberg American Health Initiative Spark award as PI (co-PI Kirsten Koehler) for the proposal on "Statistical Maps of Air Quality in Baltimore"
- [May, 2018] BRISC paper is out in Stat
- [Mar, 2018] Congratulations to Arkajyoti Saha for SLDS 2018 student travel award and JSM 2018 student travel award from the Section on
Statistics and the Environment for our paper on BRISC: Bootstrap for Rapid Inference in Spatial Covariances
- [Dec, 2017]
News article on our PNAS paper on global maps of plant-traits
- [Aug, 2017] Our paper on scalable space-time GPs for interpolating environmental pollutants has won the 2017 ASA Outstanding Application Award
- [July, 2017] Our R-package spNNGP for Bayesian analysis of massive spatial data is now on CRAN
- [Jan, 2017] News article on the ongoing project on mortality surveillence in Mozambique