Bundit Laekhanukit

Associate Professor, Shanghai University of Finance and Economics

Bundit Laekhanukit is a National-Youth-1000-Talent Associate Professor in the Institute for Theoretical Computer Science at the Shanghai University of Finance and Economics. Originally from Songkhla, Thailand, he completed his PhD at McGill University, where he was a member of the Discrete Mathematics Group, in 2014 under the supervision of Prof. Adrian Vetta.

After finishing his PhD, he was a Research Fellow at the Simons Institute for the Theory of Computing at UC Berkeley in Fall 2014. He then moved to the Swiss AI Lab IDSIA, and later joined the Weizmann Institute of Science as a postdoctoral fellow. His research interests lie in the intersection between approximation algorithms, hardness of approximations, parameterized complexity and fine-grained complexity.

Program Visits

Bridging Continuous and Discrete Optimization, Fall 2017, Research Fellow
Algorithmic Spectral Graph Theory, Fall 2014, Research Fellow
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