Fellows' Presentation

Reading Population History from Our Genomes

Markov Chain Monte Carlo under the Coalescent
Photo by Tony RinaldoPhoto by Tony Rinaldo

Part of the 2017–2018 Fellows' Presentation Series

Lecture by Ziheng Yang RI '18

Free and open to the public.

Ziheng Yang’s research interests include molecular evolution, population genetics, computational biology, and computational statistics. He develops statistical methods and computer software for comparative analysis of genetic sequence data. He has published around 200 scientific papers and two books.  

During his Radcliffe fellowship, Yang is developing new computational algorithms in his Bayesian program, BPP, and implementing a parallel version to improve its computational efficiency. The improvements will make BPP suitable for analyzing large genome-scale data sets that are rapidly accumulating.