I am an Assistant Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. Previously, I was a postdoc in the Center for Nonlinear Studies and Applied Mathematics and Plasma Physics groups at Los Alamos National Laboratory, and a postdoc in the Wisconsin Institute for Discovery at UW-Madison. I obtained my Bachelor's in Chemical Engineering from IIT Madras and my Master's and Ph.D. in Chemical Engineering from MIT.
My research lies at the intersection of global optimization, optimization under uncertainty, and applied machine learning. My current focus is on exploring new paradigms that integrate machine learning with global optimization and optimization under uncertainty, designing numerical algorithms with strong theoretical guarantees, and developing scalable implementations for energy systems applications.
For Prospective Ph.D. Students: I am always excited to collaborate with talented and driven students! If you are highly motivated to pursue a Ph.D. in my lab and have a strong background in mathematics or operations research, please email me your resume and unofficial transcripts. I will reach out to students whose backgrounds align with current research opportunities.
Ph.D. in Chemical Engineering, 2018
Massachussets Institute of Technology
Master of Science, 2014
Massachussets Institute of Technology
Bachelor of Technology, 2012
Indian Institute of Technology, Madras