Department of Statistics and the College
Lek-Heng Lim concentrates on computational and statistical mathematics. His focus is on numerical multilinear algebra, broadly defined to be the development and study of numerical algorithms for multilinear algebra and their applications. Another area of Lim’s interest is the mathematical and computational aspects of ranking, including voting theory, statistical ranking, and machine-learned ranking. Lim is also generally interested in applications of machine learning and pattern recognition methodologies to scientific, engineering, and medical computing.
Lim holds a PhD in computational and mathematical engineering from Stanford University, an MS in mathematics from Cornell University, and a BSc (honors) in mathematics from the National University of Singapore. Prior to joining the University of Chicago, he was Charles Morrey assistant professor at the University of California, Berkeley.
Lim joined the University of Chicago faculty in 2010.