I am currently a Postdoctoral Fellow at the Department of Computer Science at University of Minnesota - Twin Cities working with Professor Arindam Banerjee on "High-dimensional statistical machine learning for spatio-temporal climate data".
 
I recently completed my Ph.D. in Computer Science at Rutgers University, working with Professors Dimitri Metaxas, Vladimir Pavlovic, and Robert Kopp.
 
During my doctoral studies, I spent a couple of years at the Institute of Mathematics Applied to Geosciences at National Center for Atmospheric Research, working with Professor Douglas Nychka on "Exploring the latent spaces of geometric anisotropy for climate datasets" and with Claudia Tebaldi on "Developing a statistical emulator for the Earth system models".
 
Prior, I worked as a senior software engineer in General Dynamics Robotics Systems (GDRS), working on various vision and control algorithms for unmanned vehicles. I have also worked on various research problems in robotics at the General Robotics, Automation, Sensing and Perception (GRASP) laboratory, while completing my M.S. in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania.

› Research Interests:

Spatial Statistics | Information Geometry | Machine Learning | Climate Data Science

› Quick Links:

• CV
• Dissertation: High-dimensional Manifold Geostatistics, 2019 [Presentation Slides] [PDF]
• Selected Paper: Chintan Dalal, Douglas Nychka, and Claudia Tebaldi, Covariance structure analysis of climate model output, Sixth International Workshop on Climate Informatics, 2016 (Awarded Most Notable Paper) [Presentation Video] [PDF]