Samet Oymak

(734) 763-9030

Applications:
Biological Sciences, Computer Science, Earth Science and Ecology, Economics, Engineering, Finance and Business, Healthcare Research
Methodologies:
Artificial Intelligence, Computing, Machine Learning, Mathematical and Statistical Modeling, Optimization, Statistics

Samet Oymak

Assistant Professor

Electrical Engineering and Computer Science, College of Engineering

Assistant Professor of Electrical Engineering and Computer Science, College of Engineering

I am interested in principled approaches to machine learning with focus on data-driven decision making, deep learning foundations, and heterogeneous data. My research integrates optimization methods (specifically convex and first-order) and statistical learning theory to design efficient algorithms/architectures that address these data-science problems.

Additional Information

How did you end up where you are today?

I obtained my PhD degree from Caltech in 2015 where I received a Charles Wilts Prize for the best departmental thesis. During postdoc, I was at UC Berkeley as a Simons Fellow. After spending few years in industry, I joined UC Riverside where I received NSF CAREER and Google Research Scholar Awards. Starting Fall 2023, I will be joining EECS department at U-M.

An interesting fact: The elegance of mathematics has always amazed me and led me to participate in International Math Olympiad.
Also, my Erdos number is 3!


Accomplishments and Awards