Department of Statistics, Division of Computer Science/EECS
(510) 642-2351

Research Expertise and Interest

computational biology, population genomics, applied probability and statistics


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 Research News

Markita del Carpio Landry and Michel Maharbiz
February 8, 2017

Thirteen UC Berkeley faculty have been chosen by the Chan Zuckerberg Biohub to receive up to $1.5 million each over the next five years to conduct cutting-edge biomedical research — with no strings attached.

July 21, 2015

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.

Update Faculty Profile