Sriram Sankaranarayanan is a post-doctoral fellow at the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal advised by Prof. Andrea Lodi. Before that, he finished his PhD in the Department of Civil Engineering, Johns Hopkins University. He was advised on his PhD by Prof. Sauleh Siddiqui and Prof. Amitabh Basu. Sriram’s research interest lies on achieving global optima efficiently in structured nonconvex optimization. In particular, he has worked on mixed-integer linear programming, complementarity problems and mixed-integer bilevel programming. Apart from proving structural results and developing algorithms to solve these problems, he is also interested in using these methods for real-life problems which is of social interest.