Samet Oymak


Samet Oymak

Assistant Professor
Electrical and Computer Eng, UC Riverside
Cooperating Faculty with Computer Science

Office: Multidisciplinary Research Building 169 Aberdeen Dr, Riverside, CA 92507
Email: lastname (at) ece (dot) ucr (dot) edu

PhD in Electrical Engineering, California Institute of Technology, 2015

SODA Lab advances statistics and optimization for data science and AI.

UPDATE: Our group will be moving to the ECE Department at the University of Michigan in Fall 2023!


Research focus: Statistical learning meets (non)convex optimization to enable resource efficient AI/ML

Current topics: deep learning theory, resource efficiency, learning & control, transformers and attention

Our lab's focus is principled and empirically-impactful ML methods. High-level criteria for joining our team

  • Self-motivated and intellectually curious with how things (e.g. AI/ML systems) work

  • Strong background in applied math (stats, optimization) and machine learning methods

  • Research experience in ML theory OR innovative AI/ML algorithms