Following positive feedback we received from social hour sessions, with Machine Learning theme, CSL social hour committee is glad to have Prof. Sanmi Koyejo from department of computer science this Friday, March 9th at 3:00PM in 369 CSL. In this week’s social hour Prof. Koyejo will talk about “From open ended decoding to dynamic connectivity; probabilistic model for neuroimaging analysis“.
Bio: Sanmi (Oluwasanmi) Koyejo an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo’s research interests are in the development and analysis of probabilistic and statistical machine learning techniques motivated by, and applied to various modern big data problems. He is particularly interested in the analysis of large scale neuroimaging data.
Koyejo completed his Ph.D in Electrical Engineering at the University of Texas at Austin advised by Joydeep Ghosh, and completed postdoctoral research at Stanford University with a focus on developing Machine learning techniques for neuroimaging data. His postdoctoral research was primarily with Russell A. Poldrack and Pradeep Ravikumar. Koyejo has been the recipient of several awards including the outstanding NCE/ECE student award, a best student paper award from the conference on uncertainty in artificial intelligence (UAI) and a trainee award from the Organization for Human Brain Mapping (OHBM).