Jiacheng "Jay" Miao
I will be a Postdoc at Stanford University, with Jonathan Pritchard & James Zou. Previously, I obtained my Ph.D. in Biomedical Data Science at University of Wisconsin-Madison, advised by Qiongshi Lu and Lauren Schmitz. I got my undergraduate degree in Statistics from Nanjing University.
I am interested in the reliable use of AI/ML to accelerate genetic and scientific discovery, and in understanding the mechanisms and implications of treatment and genetic effect heterogeneity.
I develop theory, methods, and software for dissecting how genetic variation impact human complex traits and diseases, with a focus on accelerating drug discovery and advancing precision medicine.
Here are my selected papers, google scholar, and CV.
News
[02/2025]: PIGEON accepted in principle at Nature Human Behaviour for polygenic gene-environment interaction inference using GWIS summary statistics.
[09/2024]: POP-GWAS published in Nature Genetics for the reliable use of AI/ML to accelerate genetic discovery; PSPS accepted by NeurIPS 2024 for task-agnostic ML-assisted statistical inference.
[05/2024]: Jiacheng won the 2024 ICSA Student Paper Award with POP-GWAS.
[11/2023]: Check out PSPA for assumption-lean and data-adaptive ML-assisted statistical inference.
[09/2023]: Yixuan, an undergraduate student mentored by Jiacheng, won the 2023 Charles J. Epstein Trainee Award for Excellence in Human Genetics Research Semifinalist.
[08/2023]: Jiacheng had a very fun internship at the Regeneron Genetic Center.
[02/2023]: X-Wing published in Nature Communications to identify portable genetic effects and improve genetic risk prediction in ancestrally diverse populations.
[09/2022]: QUAIL published in PNAS to identify genetic associations with phenotypic variability.
[01/2022]: Jiacheng won the 2022 ASA Section on Statistics in Genomics and Genetics Student Paper Award with QUAIL.