Don't miss #IGES2026, your opportunity to engage with thought leaders, share your research, and contribute to the growing field of genetic epidemiology! Abstracts are due by May 30.
I am grateful to the Center for Computational, Evolutionary and Human Genomics for its support and am looking forward to engaging in cross-disciplinary conversations with other faculty and trainees as a CEHG Fellow!
After closely following generative AI research for the past several years but intentionally not using AI in my own work, I finally decided to bite the bullet.
So far, it is both more useful and less useful than I expected.
This is so cool: openai.com/index/model-...
This is a very thoughtful, well-argued reflection on the capabilities and downsides of LLMs. Sasha's blog posts never disappoint!
IGES is my favorite scientific conference. It has a small, intimate feel and remains focused on genetic epidemiology and statistical genetics, which makes networking easy and puts your research in front of an enthusiastic audience.
I'm going again and hope to see many of you there!
"mtDNA copy number and expression are largely decoupled, and above a certain rate-limiting threshold, mtDNA accessibility — rather than absolute copy number — is the more relevant quantity for explaining inter-individual differences in gene expression."