
Devansh Pandey
@devpandeyay
PhD Candidate @UTexasILS | Biotechnology and Biochemical Engineering @IITkgp 2022 | Interested in Human Genetics, Evolution, and Deep Learning
ID: 1079360048755687425
30-12-2018 12:54:23
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Had a great first time at #SMBE2024! Was thrilled and grateful to present my work on “The trait specific timing of accelerated genomic change in the human lineage” which also has a preprint available at doi.org/10.1101/2022.0… Mashaal Sohail Vagheesh Narasimhan


Devansh Pandey and Liaoyi Xu also presented posters: “Leveraging ancient DNA to uncover signals of natural selection in Europe lost to admixture or drift” and “The genetic architecture and consequences of the human pelvic form”. Check out what the Vagheesh Narasimhan Narasimhan lab is up to!






Stoked to see our Bits to Binders protein design competition covered in nature News today alongside Adaptyv Bio, EvolutionaryScale, and The Align Foundation! We just wrapped up the design stage of our comp, stay tuned for a update in the coming days! nature.com/articles/d4158…


Delighted to share that our paper on discovering selective sweeps with haplotype statistics in aDNA is now out in Nat. Comm! Wonderful collaboration with Vagheesh Narasimhan, Devansh Pandey, and Mariana Harris.



Scientists from UT Austin & UCLA used ancient DNA samples to look back in time & reveal new insights into how ancient Europeans adapted to their environments over 7,000 years of European history. #AncientDNA UT Statistics and Data Sciences Integrative Biology Vagheesh Narasimhan dugdheswor pandeya cns.utexas.edu/news/research/…

New paper led by star PhD student Michael R. Schwob (who is currently on the statistics job market) building a bayesian hierarchical model to understand gene flow across space and time in ancient DNA datasets. academic.oup.com/biometrics/art…


When in evolutionary time does accelerated genomic change occur across phenotypes? Newly published today in Cell Genomics , my latest manuscript with Mashaal Sohail and Vagheesh Narasimhan integrates comparative, functional, and ancient genomic data with GWAS. Read more: cell.com/cell-genomics/…


