Shili Lin is a statistician who studies the applications of statistics to genomic data.
[1][2] Lin earned her Ph.D. in 1993 from the University of Washington.
Her dissertation, supervised by Elizabeth A. Thompson, was Markov Chain Monte Carlo Estimates Of Probabilities On Complex Structures.
[3] After working as a Neyman Visiting Assistant Professor at the University of California, Berkeley, she joined the Ohio State faculty in 1995.
[1] She has been a fellow of the American Statistical Association since 2004, and a fellow of the American Association for the Advancement of Science since 2009.