Resume
Academic Achievements
- 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.