Fred Zhang

I am a PhD student in the Theory Group at UC Berkeley, advised by Jelani Nelson. My research interests lie broadly in design and analysis of algorithms.

I was a graduate student in the Theory of Computation group at Harvard, before moving to Berkeley with my advisor. Prior to that, I received my B.S. in Computer Science and in Mathematics from Duke University, where I had the fortune of working with Rong Ge and Debmalya Panigrahi.

Publications

Teaching

• COMPSCI 330: Design and Analysis of Algorithms (Spring 16, Fall 16, Spring 17, Fall 17, Spring 18)

Notes

• Mirror Descent and Online Learning (lecture note, 2019)
• Tensor Networks, Matrix Product States and Density Matrix Renormalization Group (blog post at Windows on Theory, 2018)
• Goodness-of-fit Testing and Structure Learning of the Ising Model (survey, 2018)
• The Topological Approach Towards Graph Evasiveness (survey, 2017)

Contact