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About Me

I am a postdoctoral researcher in the Stanford CS department, working with Chris Ré.

Previously, I was a short-term postdoc at in the UCLA CS and EE departments, working with Guy Van den Broeck and Lara Dolecek. I received my Ph.D. in electrical engineering from UCLA in December 2016. Before joining UCLA, I studied Electrical Engineering at the University of Michigan, Ann Arbor.

My CV and my Google Scholar profile.

My dissertation, Algorithms and Coding Techniques for Reliable Data Management and Storage (Outstanding Ph.D. Dissertation in Signals & Systems Award, UCLA EE Dept.).

My thesis, Novel Coding Strategies for Multi-Level Non-Volatile Memories (Edward K. Rice Outstanding Masters Student Award, UCLA HSSEAS, Outstanding M.S. Thesis Award, UCLA EE Dept.).

Research Interests

I am broadly interested in problems related to machine learning, statistical inference, and information and coding theory. I often work on the analysis and design of algorithms that must operate on unreliable (incomplete, noisy, corrupted) data.

My approach to these problems involves tools from many disciplines: information theory, error-correcting codes, statistical inference, algorithms, combinatorics and optimization. Projects I have worked on include:

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