Jiacheng Miao
Hi, I am a fifth year Ph.D. candidate in Biomedical Data Science at University of Wisconsin-Madison, advised by Prof. Qiongshi Lu and Lauren Schmitz. Previously, 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 analyzing genetic data, with a focus on accelerating drug discovery and advancing precision medicine.
Here are my selected papers, google scholar, and CV.
News
09/24: 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.
09/24: 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.
05/24: Jiacheng won the 2024 ICSA Student Paper Award with POP-GWAS.
11/23: Check out PSPA for assumption-lean and data-adaptive ML-assisted statistical inference.
09/23: Yixuan, an undergraduate student mentored by Jiacheng, won the 2023 Charles J. Epstein Trainee Award for Excellence in Human Genetics Research Semifinalist.
08/23: Jiacheng had a very fun internship at the Regeneron Genetic Center.
02/23: X-Wing published in Nature Communications to identify portable genetic effects and improve genetic risk prediction in ancestrally diverse populations.
12/22: Check out PIGEON for polygenic gene-environment interaction inference using GWIS summary statistics.
09/22: QUAIL published in PNAS to identify genetic associations with phenotypic variability.
01/22: Jiacheng won the 2022 ASA Section on Statistics in Genomics and Genetics Student Paper Award with QUAIL.