David Wajc

Carnegie Mellon University

David Wajc is a PhD candidate in computer science at Carnegie Mellon University, advised by Bernhard Haeupler. He is broadly interested in algorithmic aspects of theoretical computer science, and has worked on online algorithms, distributed programming, and AGT, among others. Prior to his arrival at CMU, he completed his BSc and MSc in computer science at the Technion, where he was advised by Nir Ailon, Seffi Naor and Hadas Shachnai.

Program Visits

Online and Matching-Based Market Design, Fall 2019, Visiting Graduate Student
Bridging Continuous and Discrete Optimization, Fall 2017, Visiting Graduate Student
Algorithms and Uncertainty, Fall 2016, Visiting Graduate Student