Authored 'Sketching as a Tool for Numerical Linear Algebra'; received Herbert Simon Award for teaching in computer science; published papers at top conferences such as SODA.
Research Experience
Part-time at Google Omega team; currently chair of CATCS; PC chair for SODA 2024 and ICALP 2022.
Background
Professor in the Theory Group, Department of Computer Science, Carnegie Mellon University. Research interests include algorithms, data streams, machine learning, numerical linear algebra, sketching, and sparse recovery.
Miscellany
Running an LLM-based feedback experimental program for STOC; taught various courses at CMU including Algorithms for Big Data.