Scholar
Samson Zhou
Google Scholar ID: NpjsgocAAAAJ
Texas A&M University
Citations & Impact
Citations
1,463
H-index
21
i10-index
43
Publications
20
Co-authors
110
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Teaching experience: CSCE 411: Design and Analysis of Algorithms (Spring 2026, Fall 2025, Spring 2025, Fall 2024)
- - CSCE 658: Randomized Algorithms (Spring 2024)
- - CSCE 689: Special Topics in Modern Algorithms for Data Science (Fall 2023)
- - Service experience: Organizer of multiple workshops and academic events
- - Program committee/area chair: ICLR 2026, SOSA 2026, NeurIPS 2025, APPROX 2025, RANDOM 2025, ICML 2025, NeurIPS 2024, ESA 2024, ISAAC 2024, COLT 2024, COLT 2023, COLT 2022, RANDOM 2022
- - Reviewer: Reviewed for top conferences multiple times
Research Experience
- - Texas A&M University, Assistant Professor (August 2023-Present)
- - Simons Institute for the Theory of Computing, Sublinear Algorithms, Visiting Scientist (Summer 2024)
- - UC Berkeley and Rice University, Postdoctoral Researcher, hosted by Jelani Nelson and Vladimir Braverman (September 2022-July 2023)
- - Carnegie Mellon University, Postdoctoral Researcher, hosted by David P. Woodruff (September 2019-August 2022)
- - Indiana University, Postdoctoral Researcher, hosted by Grigory Yaroslavtsev (August 2018-2019)
- - Purdue University, Postdoctoral Researcher, hosted by Jeremiah Blocki (Summer 2018)
Education
- - Purdue University, Doctor of Philosophy, Computer Science, advised by Greg Frederickson and Elena Grigorescu (2018)
- - Massachusetts Institute of Technology, Master of Engineering, Computer Science (2011)
- - Massachusetts Institute of Technology, Bachelor of Science, Computer Science (2011)
- - Massachusetts Institute of Technology, Bachelor of Science, Mathematics (2010)
Background
- Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University. Research interests lie at the intersections of theoretical computer science, data science, and machine learning, particularly numerical linear algebra, streaming algorithms, and differential privacy.
Miscellany
- Personal interests and hobbies not provided
