Hanbin Lee
@epigenci
Studying how stochastic evolutionary forces shape statistical inference. Statistics PhD student @UMich. 🏳️⚧️
New preprint! We unveil the profound connection between the Ancestral Recombination Graph and Linear Mixed Models. Guess what? Random effects are merely a consequence of mutations running on a fixed genealogy. biorxiv.org/content/10.110…
Happy to share that our work from the @nmancuso_ lab is out in @NatureGenet! We developed SuShiE, a multiancestry fine-mapping method for molecular traits. doi.org/10.1038/s41588…
📣New from Tang & @CharlestonCWKC! 📄A genealogy-based approach for revealing ancestry-specific structures in admixed populations cell.com/ajhg/abstract/…
🚨❤️🤍 BREAKING: Viktor Gyökeres to Arsenal, here we go! Verbal agreement in place between all parties involved. Sporting accept last bid from Arsenal for €63.5m plus €10m, agent will reduce his commission. Gyökeres will sign five year deal at #AFC. He ONLY wanted Arsenal. 🇸🇪
Two cents on AI getting International Math Olympiad (IMO) Gold, from a mathematician. Background: Last year, Google DeepMind (GDM) got Silver in IMO 2024. This year, OpenAI solved problems P1-P5 for IMO 2025 (but not P6), and this performance corresponds to Gold. (1/10)
New online! An evolutionary continuum between non-coding and coding DNA bit.ly/4m6Kz6F
x.com/statnews/statu…
Protein structure prediction contest CASP gets temporary funding from Google DeepMind as NIH grant runs out. trib.al/bGoz7lf
Predicting microbial community dynamics is hard: mechanistic models lack flexibility, ML models overfit & ignore physics. This study proposes NSM—a physics-constrained neural ODE. Accurate, interpretable, data-efficient. biorxiv.org/content/10.110…
7. However, LLMs will become exceedingly powerful for problems that *someone* knows how to solve (in-distribution, in training data). In math research, you combine existing techniques with new creative ideas. LLMs will significantly accelerate the former part. (7/10)
traceax: a JAX-based framework for stochastic trace estimation biorxiv.org/content/10.110… #biorxiv_bioinfo