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Genetic epidemiology postdoc at @stanford.edu
Mykhaylo M. Malakhov









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This fellowship will partially fund the second year of my postdoctoral training at Stanford, where I will continue working with @johnwitte.bsky.social and @lindakachuri.bsky.social to develop personalized biomarkers for prostate cancer and other complex diseases.
This is a very thoughtful, well-argued reflection on the capabilities and downsides of LLMs. Sasha's blog posts never disappoint!
"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."
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!
This is so cool: openai.com/index/model-...