I am an Assistant Professor in the department of Industrial and Systems Engineering at Lehigh University. Prior to joining Lehigh, I worked as a visiting Assistant Professor at the department of Management Science & Information Systems at the Rutgers Business School. From August 2014 to August 2016, I worked as an Assistant Professor in the Operations Research and Industrial Engineering Program at the University of Texas at Austin.  Before that, I was a Research Scientist at the Department of Business Analytics and Mathematical Sciences at IBM T.J. Watson Research Center. I received my PhD in 2012 from Carnegie Mellon University under the supervision of Professor Nick Sahinidis.

My research goal is to advance the state-of-the-art in Mixed-Integer Nonlinear Optimization (MINLP) at theoretical, algorithmic, and software levels. Recently, I have become interested in developing efficient optimization algorithms with performance guarantees for data science applications, such as data clustering, multi-image matching, low-rank matrix/tensor factorization, and sparse regression. My research builds upon ideas from convex analysis and optimization, integer programming and combinatorial optimization, and high dimensional probability.