Nikhil Milind

@nikhilmilind.dev

PhD Candidate in the Pritchard Lab at Stanford University. Interested in statistical and population genetics. https://nikhilmilind.dev/

I am excited to share that I will be joining the Baker Institute for Animal Health and College of Veterinary Medicine at Cornell University as an Assistant Professor next spring! I am grateful to my mentors and colleagues who have supported me throughout this journey.

These are of course very old questions with tremendous recent progress; we focus mostly on the recent progress and what it offers for the next era of studying human genetics in biobanks. Excited this preprint is out and we'd of course love to hear any thoughts!

Jeff Spence@jeffspence.github.io · 3w ago

@roshnipatel.bsky.social and I wrote about using biobanks to learn about evolution, and how those findings shape interpretations of association studies. We focused on estimating evolutionary constraint and relating relating selection on variants to selection on traits and include open questions.

@roshnipatel.bsky.social and I wrote about using biobanks to learn about evolution, and how those findings shape interpretations of association studies. We focused on estimating evolutionary constraint and relating relating selection on variants to selection on traits and include open questions.

arXiv q-bio.PE Populations and Evolution@qbiope-bot.bsky.social · 3w ago

Jeffrey P. Spence, Roshni A. Patel: Insights into human evolution from large genetic biobanks https://arxiv.org/abs/2609.12297 https://arxiv.org/pdf/2609.12297 https://arxiv.org/html/2609.12297

I’m looking to hire an NIH funded postdoc to join our lab here at Davis (please RT). Ongoing areas of interest include: 1) polygenic signals of selection from time series, ARGs, GWAS, etc 2) The interpretation of GWAS, polygenic scores, & sources of confounding

Our work on systematic perturb-seq of primary human T cells is now out in Cell 🎉 www.cell.com/cell/fulltex... It's been a privilege to work with @ronghuizhu.bsky.social between @jkpritch.bsky.social @marsonlab.bsky.social labs, with a dream-team of co-authors ❤️ Highlights in preprint thread👇

Genome-scale perturb-seq in primary human CD4+ T cells maps context-specific regulators of T cell programs and human immune traits

A dynamic atlas of gene regulation was generated by perturbing every expressed gene across 22 million primary human CD4+ T cells under resting conditions and following re-stimulation. The resulting ma...

cell.com

Emma Dann@emmamarydann.bsky.social · 9mo ago

Together with @ronghuizhu.bsky.social, we are thrilled to present our new perturb-seq study of 22M primary CD4+ T cells, across donors and timepoints – the result of a decade-long collaboration between the Marson @marsonlab.bsky.social and Pritchard @jkpritch.bsky.social labs 🧵 tinyurl.com/gwt2025

Genome-scale perturb-seq in human T cells. Our fantastic postdocs @ronghuizhu.bsky.social and @emmamarydann.bsky.social have done great work here to show the power and opportunities of perturb-seq in primary cells. This is part of a wonderful long-term collaboration with @marsonlab.bsky.social

Emma Dann@emmamarydann.bsky.social · last mo.

Our work on systematic perturb-seq of primary human T cells is now out in Cell 🎉 www.cell.com/cell/fulltex... It's been a privilege to work with @ronghuizhu.bsky.social between @jkpritch.bsky.social @marsonlab.bsky.social labs, with a dream-team of co-authors ❤️ Highlights in preprint thread👇

So, I've started a substack. I'll be writing about biology, but my first posts are about applying statistical methods to one of my hobbies: track fandom. In the first posts I describe the Pareto trade-off between a fast overall speed and finishing speed: jkpritchard.substack.com/p/greatest-1...

Greatest 1500m races? Fast times vs fast finishes, and the Pareto Frontier.

A statistical analysis of how overall race speed relates to finishing speed.

jkpritchard.substack.com