DATE:

Friday, November 19, 2021

TIME:

3:30 PM

LOCATION:

GMCS 314

SPEAKER:

Arun Sethuraman, Biology, San Diego State University

ABSTRACT:

There is a great need for improved fast and efficient algorithms and software for parsing and making sense of large scale population genomic data. My research involves development of new statistical/computational methods for the estimation of (1) genetic ancestry, (2) relatedness, (3) evolutionary history from population genomic data. These methods are applied widely in the fields of human genomics, forensics, conservation, and agriculture. In this talk, I will use a case study of the evolution of anatomically modern humans in Africa to discuss (1) a multinomial clustering method to estimate their genetic ancestry, and (2) a non-linear programming method to estimate relatedness between individuals.

HOST:

Jose Castillo

VIDEO: