CRML Affiliated Faculty
Assistant Professor, Statistics and Applied Probability
My research interests revolve around learning of underlying relationships in large scale data. Particularly, I work on topics in inference, scalable computation, and high-performance software implementation for graphical models. Also, having come from a science background, I enjoy applying my research to genomic, financial, and neuroscience data.
Sang-Yun Oh first got involved in research through his experience in an astrophysics lab at UC Berkeley. Since then he became increasingly interested in computational statistics and learning methods for data-driven discovery in science. He received his Ph.D. at Stanford University and researched at Simons Institute for the Theory of Computing and Lawrence Berkeley Lab as a postdoctoral fellow. He is currently an assistant professor in the department of Statistics and Applied Probability and also faculty scientist at Lawrence Berkeley Lab