Samson Zhou

Samson Zhou is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from Purdue University and dual B.S. and M.Eng. degrees from MIT in Computer Science and Mathematics. His research focuses on theoretical computer science, data science, and machine learning, with specializations in numerical linear algebra, streaming algorithms, and differential privacy. He has held postdoctoral positions at institutions including Carnegie Mellon University and Rice University.

Education:

• Ph.D., Computer Science, Purdue University (2018)
• M.Eng., Computer Science, MIT (2011)
• B.S., Computer Science & Mathematics, MIT (2010-2011)

Research Interests:
Dr. Zhou explores intersections of algorithms, data science, and machine learning, emphasizing numerical linear algebra, streaming algorithms, differential privacy, and adversarial robustness. He designs efficient algorithms for large-scale data processing with provable guarantees.

Key Contributions:
His work includes advancements in sliding window clustering, adversarially robust streaming algorithms, and privacy-preserving techniques. Notable achievements include the Silver Best Paper Award at ICML 2021 and spotlight presentations at ICLR 2025.

Service & Leadership:
He organizes workshops (e.g., TTIC 2024 on Learning-Augmented Algorithms) and serves on program committees for SOSA, NeurIPS, and COLT. He also co-leads the TAMU Math Circle's problem-solving sessions and the Algorithms & Data Science Reading Group.

Labs/Teams:
He collaborates on projects involving co-hosted postdocs (e.g., Chen Wang) and masters students (e.g., Shenghao Xie), focusing on topics like coresets, streaming algorithms, and fair clustering.