Prior to joining ISyE, he served as an applied math instructor at MIT and as a postdoctoral researcher at the Max Planck Institute for Mathematics in the Sciences.
Education
Ph.D. in Electrical Engineering and Computer Science (2018), Massachusetts Institute of Technology; M.S. in Electrical Engineering and Computer Science (2014), Massachusetts Institute of Technology; B.S. in Mathematics (2012) and B.S. in Electronics Engineering (2012), Universidad de los Andes.
Background
His research focuses on the development of mathematical optimization methods and their application in engineering areas such as machine learning, statistics, robotics, power systems, and computer vision. He also works on the theoretical analysis of optimization methods, leveraging geometric and combinatorial information to improve efficiency and robustness.