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Hi! I am Jiacheng, a postdoc at Stanford, working with Jonathan Pritchard and James Zou.

I am building AI co-scientists to reshape how science is communicated and applied, and characterizing the omnigenic architecture of complex diseases using Perturb-seq.

Previously, I received my Ph.D. at the University of Wisconsin–Madison, advised by Qiongshi Lu and Lauren Schmitz. I completed my B.S. in Department of Mathematics at Nanjing University. During my Ph.D., I developed methods and theory for trustworthy use of AI/ML-generated data in scientific analyses and for understanding how genes and the environment jointly influence human complex traits.

Here are my selected papers, software I've open-sourced, google scholar, and CV.

E-mail: jcmiao at stanford dot edu

News

[Sep 2025]: Excited to share my first postdoc work: we release Paper2Agent that reimagines static research papers into interactive AI agents (>1.2k Github stars)

[Sep 2025]: PSPA published in Journal of Machine Learning Research (JMLR) for method and theory for trustworthy scientific data analysis using AI/ML-generated data.

[Aug 2025]: Excited to receive the NOMIS & Science Young Explorer Award!

[Jun 2025]: Starting my postdoc at Stanford! I will work on building reliable AI co-scientists to accelerate scientific discovery and interpreting disease-associated genes using Perturb-seq.

[May 2025]: PIGEON published in Nature Human Behaviour for understanding the joint role of genes and the environment in human complex traits.

[Sep 2024]: POP-GWAS published in Nature Genetics for the reliable use of AI/ML-generated data to accelerate genetic discovery.

[Sep 2024]: PSPS accepted by NeurIPS 2024 for task-agnostic scientific data analysis using AI/ML-generated data.

[May 2024]: Won the 2024 ICSA Student Paper Award with POP-GWAS.

[Aug 2023]: Had a very fun internship at the Regeneron Genetic Center.

[Feb 2023]: X-Wing published in Nature Communications to identify portable genetic effects and improve genetic risk prediction in different populations.

[Sep 2022]: QUAIL published in PNAS to identify genetic associations with phenotypic variability.

[Jan 2022]: Won the 2022 ASA Section on Statistics in Genomics and Genetics Student Paper Award with QUAIL.