Summary
Arun Sethuraman is a computational evolutionary biologist and professor specializing in theoretical and applied population genomics, with 11 years of research and faculty experience developing statistical methods and software to infer evolutionary history from large genomic datasets. He leads a lab at San Diego State University focused on structured populations, tackling challenges like missing-data-aware population structure, linked selection versus adaptive introgression, archaic and “ghost” hybridization, and relatedness in admixed and polyploid systems. His group has produced tools such as PPP, InRelate, IMa2p, IMGui, and MULTICLUST and applies these methods to questions ranging from hop domestication and pest invasiveness to the genomics of introduced beneficial insects. Supported by NSF, USDA-NIFA, US-DOE, and NIH awards, he blends deep computational training (PhD in Bioinformatics & Computational Biology) with practical conservation and agricultural genomics applications. Notably, his background in computer science and early industry work on multi-agent systems informs a pragmatic software-first approach to complex coalescent modeling and pipeline development.
11 years of coding experience
11 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
PhD, Bioinformatics and Computational Biology, PhD, Bioinformatics and Computational Biology at Iowa State University