Alex L. Wang
Krannert School of Management
[G. Scholar] [arXiv] [OO]
I am an assistant professor at Purdue University in the Krannert School of Management (Quantitative Methods Group).
I received my Ph.D. from the Computer Science Department at Carnegie Mellon University (2022), where I was supervised by Fatma Kılınç-Karzan. In Fall 2022, I was a postdoctoral researcher at Centrum Wiskunde & Informatica in the Optimization for and with Machine Learning project, where I was supervised by Monique Laurent.
My research interests broadly lie in the development and application of convex optimization tools towards nonconvex problems, especially those inspired by machine learning tasks. My work has been recognized by the INFORMS Optimization Society 2021 Best Student Paper Award and an ICML Outstanding Paper Award 2022.