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Siu On Chan

Siu On Chan

Siu On Chan got his PhD at UC Berkeley under the supervision of Luca Trevisan and Elchanan Mossel. He previously did his undergrad at the Chinese University of Hong Kong, and got his MSc from University of Toronto under the supervision of Mike Molloy. His research interests in theoretical computer science include hardness of approximation, distributional property testing, and random constraint satisfaction problems.

For his publications, see this page.