Bernhard Haeupler

Bernhard Haeupler is a Professor at Sofia University 'St. Kliment Ohridski' and Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), focusing on Algorithms & Theory. He is also a Researcher at ETH Zurich (since 2020) and an Adjunct Professor at Carnegie Mellon University (since 2022).

His research spans Theoretical Computer Science with emphasis on Algorithms for Distributed and Parallel Computing, Coding Theory, Graph Algorithms, and Network Information Theory. Recent work includes Universal Optimality in Shortest Paths, Hop-Constrained Expanders, and Dynamic Clustering.

Scientific Awards:

• ERC Starting Grant (2020)
• Sloan Research Fellow (2019)
• NSF CAREER (2018)
• ACM-EATCS Doctoral Dissertation Award (2014)
• George Sprowls Award (MIT) (2014)

PhD Students:

• Richard Hladik (ETH Zurich/INSAIT)
• Antti Roeyskoe (ETH Zurich/INSAIT)
• D. Ellis Hershkowitz (Brown University)
• Jason Li (Carnegie Mellon University)
• Amirbehshad Shahrasbi (Microsoft)
• David Wajc (Technion - Israel Institute of Technology)
• Goran Zuzic (Google Research Zurich)
• Nicolas Resch (University of Amsterdam)

He advocates for Neurodiversity and Diversity in academia.