Hongseok Yang


Research Area
Computing Theory, AI-Information Service
Programming Languages. Machine Learning.
PhD, University of Illinois at Urbana-Champaign, 2001
3403, E3-1
Laboratory for Foundations of Programming Languages and Machine Learning

Hongseok Yang is a full professor at the School of Computing, KAIST, Korea. His research area is programming languages, but he mostly works on problems that arise at the boundaries between programming languages and other areas, such as machine learning, statistics, probability theory and distributed systems. He is currently excited about probabilistic programming, the idea of developing a programming language and its system for writing and using advanced machine learning models effectively.

He received his PhD degree in 2001 from the Department of Computer Science, University of Illinois at Urbana-Champaign, USA. Then, he was a postdoc researcher first at KAIST from 2001 until 2003 and next at Seoul National University from 2003 until 2006. After finishing this postdoc training, he took a lectureship (corresponding to assistant professorship) at Queen Mary, University of London, UK for about five years, before he move to the University of Oxford, where he took an associate professorship (2011-2014) and then a full professorship (2014-2017). While he was at Oxford, he also held tutorial fellowship at Worcester College, one of the most beautiful Oxford colleges. He joined KAIST in 2017. He is a co-winner of the 2016 CAV award, received a distinguished paper award in PLDI 2014 and a best paper award in CONCUR 2012, and held an EPSRC Advanced Research Fellowship from 2007 until 2012.