As part of the 2017-2018 Fellows' Presentation Series at the Radcliffe Institute for Advanced Study, Ziheng Yang RI '18 presents "Reading Population History from Our Genomes:
Markov Chain Monte Carlo under the Coalescent," covering Bayesian statistical inference and multispecies coalescent models—and the exciting things that result from putting them together.
Ziheng Yang is the R.A. Fisher Professor of Statistical Genetics at University College London and the 2017–2018 Helen Putnam Fellow at the Radcliffe Institute of Harvard University. 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.