Sang Wan Lee (이상완)
Biosketch
I am an associate professor (tenured) in the Department of Brain & Cognitive Sciences at KAIST, and also affiliated with the Department of Bio and Brain Engineering, Graduate School of Data Science, and the Kim Jaechul Graduate School of AI. I am also a founding director of the KAIST Center for Neuroscience-inspired Artificial Intelligence.
I received my Ph.D. in Electrical Engineering and Computer Science from KAIST in 2009 (Ph.D. supervisor: Zeungnam Bien). I was a postdoctoral associate at MIT (advisor: Tomaso Poggio), followed by a Della Martin postdoctoral scholar at Caltech (advisor: John O'Doherty and Shinsuke Shimojo).
I received the Google Faculty Research Award (2016) and IBM Academic Award (2021). I also won a few awards from KAIST, including KAIST Songam Distinguished Research Award (2019), KAIST Institute Faculty Award (2019), KAIST International Cooperation Award (2022), and KAIST Global Research Collaboration Award (2023). Our lab was selected as a SW StarLab in AI (2023) by the Ministry of Science and ICT, Korea.
My research focuses on understanding how the brain learns and makes inferences. To address this question, I have put together ideas from AI and computational neuroscience. The approach is two-fold: 1) “Brain↦AI” aimed at understanding how the brain learns from an AI standpoint, and 2) “AI↦Brain” aimed at understanding why such neural processes occur.
(CV(out of date), Google scholar citations, and Neurotree)
Awards
IBM Academic Award (2021)
KAIST Global Research Collaboration Award (2023)
KAIST International Cooperation Award (2022)
KAIST Songam Distinguished Research Award (2019)
KAIST Institute Faculty Award (2019)
KIIS Young Investigator Award (2016)
ICROS Young Investigator Award (2016)
Book (in Korean)
Newspaper Opinion (in Korean)
Interviews/public lecture examples (in Korean)
네이버 열린연단 “인공지능과 디지털의 세계” (2024)
Meetup
Office hours: Tuesdays and Thursdays, 11:00-12:00
Other meetings: by appointment only. Please sign up HERE ("Student meeting" tap).
sw_talk (internal)