🧬 AI in Genomics Symposium next week!
We're bringing together leading scientists from across academia and industry pushing the boundaries of AI in genomics research
Join us May 8 at the University of Chicago - KCBD Auditorium, 9:30–5:00, reception to follow. No registration needed!
New from the lab: cfDNA provides an unexpected window into telomere chromatin state and genome-wide chromatin changes that accompany telomere shortening, from a blood draw. We hope this opens a path toward monitoring telomere biology disorders with a blood test. www.biorxiv.org/content/10.6...
I wrote about why every lab should have AI use guidelines, and how to do it.
open.substack.com/pub/blekhman...
What is the PhD actually for, especially now that AI can do increasingly more of what we train scientists to do? compbiologist.substack.com/p/what-is-th...
A response to @pracheeac.bsky.social's thought-provoking essay "Free the PhD".
@compbiologist.bsky.social and @fishevodevogeno.bsky.social present newly minted Dr. Hao Yuan @yhbioinfo.bsky.social! @michiganstateu.bsky.social Amazing work @ the intersection of computational, biomedical, and evolutionary biology! Hao starts a postdoc in the @edwardmarcotte.bsky.social Lab soon.
@nucatsinstitute.bsky.social and @kristiholmes.bsky.social were pleased to host @compbiologist.bsky.social for a seminar discussing his lab's work developing #ComputationalMethods that organize poorly labeled data. The goal is to make millions of publicly available datasets discoverable.
We have a new platform for employees to give and receive kudos, and it's weekly digests are brutal!
Sean Davis & I are hiring a postdoc to work on turning massive public biological data collections into reusable engines for discovery.
#ML / #AI + large-scale omics + open software
Details + apply: cu.taleo.net/careersectio...
seandavi.github.io | thekrishnanlab.org
@cubiomedinfo.bsky.social
A lab using my recent articles on AI use during PhD training doi.org/10.5281/zeno... & doi.org/10.5281/zeno... to kickstart a discussion and draft guidelines for their group is exactly the kind of use I hoped these articles would inspire! Highly recommend reading Ran's post.
Enjoyed working w/ Stephen & Agnes on this!
Gave me a chance to think systematically about where AI 🤖 can backstop human 🧑🏼🔬 fallibilities in peer review (fatigue, ordering effects, bias) vs. where human judgment remains essential (novelty, feasibility, creative leaps) while grappling w/ the risks.
