population genomics. evolution. bioinformatics.
 Congratulations to Anais Aoki on a splendid Masters thesis proposal defense, which she passed with flying colors and officially advanced to Masters candidacy. We can't wait to hear more about her ongoing research on predictive models for conservation genomics!
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The Sethuraman Lab invites applications from potential PhD and Masters students for Fall 2023 - we are looking for scholars with a background and research interest in (1) population genetics/genomics, (2) bioinformatics/computational biology, (3) evolutionary biology, (4) conservation, (5) computer science/applied mathematics, (6) machine learning to join the lab through several graduate programs at San Diego State University:
PhD programs 1) Joint Doctoral Program in Evolutionary Biology (with University of California Riverside) 2) Joint Doctoral Program in Computational Sciences (with University of California Irvine) Masters programs 1) Masters in Evolutionary Biology 2) Masters in Bioinformatics and Medical Informatics This recruitment season, we are specifically looking for PhD students interested in the following funded projects: 1) Developing new statistical methods/software for estimating evolutionary history - for examples of methods that we have developed, see: PPP, InRelate, IMa2p, IMGui, MigSelect, and MULTICLUST. 2) Understanding human evolutionary history, specifically in the face of gene flow from archaic ghost populations. We are interested in understanding/estimating signatures of selective sweeps, linked selection, adaptive/maladaptive introgression, load, and demographic history across diverse human populations. Potential Masters students are welcome to write to me with their broader interests and we can discuss more about potential projects. Please write to Dr. Sethuraman ([email protected]) with a copy of your CV/Resume, a brief statement of interest, and let’s chat more. We are committed to recruiting a diverse group of scientists to join my lab group – so we highly encourage folks who identify as a part of historically underrepresented groups to apply. This includes (non-exhaustively) people of color, international students, Veterans of armed forces, student-parents/caregivers, first-generation degree holders, the LGBTQIA+ family, and folks with medical conditions and disabilities. |
Arun Sethuraman
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