Sam Hopkins

Sam Hopkins is the Jamieson Career Development Professor in Electrical Engineering and Computer Science and Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT). His research focuses on the Theory of Computation. Hopkins is affiliated with the CS department and holds the title of Assistant Professor. His work is accessible through his website at https://www.eecs.mit.edu/people/sam-hopkins/ and his email is samhop@mit.edu.

Samuel B. Hopkins is a researcher at the Massachusetts Institute of Technology, focusing on Algorithms, Complexity, and Machine Learning. His work explores the intersection of computational complexity and statistical inference, particularly through the lens of sum-of-squares proofs. Hopkins investigates problems such as planted clique detection, tensor principal component analysis, and robust mean estimation. His research emphasizes the development of efficient algorithms for statistical estimation under adversarial conditions, including differential privacy and robustness to outliers. His contributions span both theoretical and applied aspects of machine learning, with a focus on understanding the computational limits of statistical inference.