Science, for me, gives a partial explanation of life. In so far as it goes, it is based on fact, experience and experiment. Rosalind Franklin
I love nature and animals
I am a postdoc at UCLA with Sriram Sankararaman since Oct 2020. I am really excited about the opportunity to combine machine learning with population and statistical genetics, and I will focus on developing inference methods to understand the genetic and phenotypic heritage of archaic introgression.
During my postdoc at UC Berkeley (July 2018 -Sept 2020), I have worked on inference in structured coalescent using ancestral recombination graphs with Rasmus Nielsen, and signatures of multiple mergers coalescent with Monty Slatkin. I love all the theoretical challenges, computational techniques, and application opportunities I encountered in these projects, and I am obssesed with the coalescent theory.
I did my Ph.D. (Sep 2013-Apr 2018) at University of Michigan with George Zhang , who guided me from know-barely-anything to know-at least-something. My Ph.D. thesis focuses on understanding the rules and patterns in genotype-phenotype relationship, and its interaction with the environment. I took quantitative genetics, modeling, and simulation approaches, to test and amend some very old evolutionary hypotheses. At UM, I was also often enlightened from scientific conversations with Alexey Kondrashov.
My broad interests in evolutionary genetics and human population genetics initiated in college, through the guidance of Felix Li Jin at Fudan University. My training in modeling initiated from working with David Waxman and Martin Lascoux in the last summer at Fudan.