Yun S. Song

Yun S. Song

Dept of Statistics
Division of Computer Science/EECS
(510) 642-2351
(510) 642-7892
Research Expertise and Interest
computational biology, population genomics, applied probability and statistics
Research Description

My research interest centers around computational biology and mathematical aspects of population genetics. The latter concerns the study of various evolutionary forces -- such as mutation, recombination, natural selection, and demographic history -- that produce and maintain genetic variation in a population. In addition to being an important branch of biology that has been studied for many decades, population genetics is tightly linked to several areas of mathematics, including probability theory, stochastic processes, combinatorics, and graph theory. I am interested in developing efficient computational methods and novel analytic techniques for tackling challenging problems in population genetics. I also work on various computational biology problems, including phylogenetics, forensic science, and algorithms for next-generation sequencing.

In the News

July 21, 2015

Genome analysis pinpoints arrival and spread of first Americans

The original Americans came from Siberia in a single wave no more than 23,000 years ago, at the height of the last Ice Age, and apparently hung out in the north – perhaps for thousands of years – before spreading in two distinct populations throughout North and South America, according to a new genomic analysis.