I'm an Assistant Professor in the Department of Biostatistics
at Johns Hopkins Bloomberg School of Public Health. Prior to
this, I completed my PhD in Biostatistics from
University of Minnesota
under the supervision of
Dr. Sudipto Banerjee and
Dr. Hui Zou.
I'm interested in all aspects of spatial and spatio-temporal statistics . Application areas include air pollution , ecology and forestry data.
I'm also working on spatial disease mapping and plan to explore spatial models for neuroimaging, Earth system models and assessing health effects of environmental
My research interests also include developing the theory and methodology for high-dimensional data , small area estimation , and
Bayesian hierarchical models .
See my research page for more details on my projects.
- Our R-package spNNGP for Bayesian analysis of massive spatial data is now on CRAN
- News article on the ongoing project on mortality surveillence in Mozambique
- Our paper on scalable space-time GPs for interpolating environmental pollutants has won the 2017 ASA Outstanding Application Award
- We now have a Spatial Science Center at Hopkins
- I'm a member of the SAESS working group at Hopkins
News article about my research on global maps of plant-traits.
I'm looking for PhD students to work on ongoing projects on spatial statistics and small area estimation.
Currently there is funding for the following projects:
- Small area estimation of key populations relevant to infectious diseases using survey data
- Calibrating verbal autopsy data to improve cause of death determination
- Statistical methods for massive spatial and spatio-temporal data
If you're interested to work on any of these projects, please contact me.
If you've a dataset or an idea for a project, and want to discuss with me, feel free to email me or walk into my office anytime I'm there.