About
I am currently working as a Research Consultant in the Mathematics and Computer Science division at Argonne National Laboratory from the Greater Toronto Area in Ontario, Canada. I am currently investigating mathematical and algorithmic techniques for approximating expensive functions and optimization for tuning derivate-free Monte Carlo simulators. I am a member of the Institute for Operations Research and the Management Sciences (INFORMS) and Society for Industrial and Applied Mathematics (SIAM). I received my Ph.D. in computer science from George Mason University in 2018. My doctoral dissertation involved investigating architectures that model and optimize stochastic closed-form arithmetic simulation models of manufacturing processes with work-in-process inventories over multiple intervals. I was a Research Assistant (RA) in GMU from 2013-2018 and a Guest Researcher at National Institute of Standards and Technology from 2015-2018. Before that, I worked at Los Alamos National Laboratory for 4 years. I also have a Masters in Computer Science from Rochester Institute of Technology and a Bachelors in computer engineering from Mumbai University.