I am currently a Lead Research Scientist at Systems & Technology Research (STR) where I lead multiple efforts for government customers and when possible publish research papers on them at the ML major venues. My current research interests are broadly in the areas of statistical machine learning, semi/self-supervised learning, explainable AI, sequential learning, optimization in Bayesian modeling, and anomaly detection.

Previously, I was a Department of Energy NNSA Fellow and visiting scientist at Los Alamos National Lab. I recieved a PhD in the Electrical Engineering and Computer Science department at University of Michigan under the supervision of Alfred Hero and B.A. and M.A. degrees in Statistics from the University of California, Berkeley and University of Michigan, Ann Arbor respectively.