郭昕育 Xinyu Guo

AI researcher · builder · founder

New Haven, CT

At a glance

Now: Postdoctoral Associate, Yale University · AI for science
Focus: Biological & genomic foundation models · scientific AI agents
Training: Ph.D. USC 2026 · M.S. Johns Hopkins · B.A. WashU
Industry: Abbott Cancer Diagnostics, genomic AI (2026)
Shipped: RallyAI and Doover, solo-built iOS apps on the App Store
Open to: AI labs · biotech · founders and investors in AI × bio

Background

I work on AI for science: foundation models that read DNA, RNA and single-cell data, and the agents that let scientists use them responsibly. I am a Postdoctoral Associate at Yale with Dr. Lucila Ohno-Machado, after a Ph.D. in Computational Biology & Bioinformatics at USC and a summer at Abbott Cancer Diagnostics evaluating genomic foundation models on real tumor cohorts.

I also like shipping. I have taken two AI products from idea to the App Store, RallyAI for tennis and Doover for photo editing, doing the modeling, the app and the launch myself. Research taught me to be careful with claims; building taught me to be fast with everything else. I try to bring both to every team I work with.

Outside work I am usually behind a camera, chasing moments that say something about the people in them.

Research areas

Biological & genomic foundation modelsLLM agents for science & tool useCancer genomics & precision oncologyVariant-effect prediction (SNV, SV, fusion)Single-cell & spatial transcriptomicsSelf-supervised & contrastive learningComputer vision & on-device MLBenchmark design & model evaluation

Technical

Python · R · C++ · SQL · Bash · TypeScript · SwiftPyTorch · PyTorch Geometric · JAX · Hugging FaceLLM pretraining · SFT · RL · agents & tool useTransformers · GNN / GAT · state-space models (Mamba)Computer vision · pose estimation · Core ML on-deviceRNA-seq · ChIP-seq · ATAC-seq · NGS somatic callingNext.js · React · FastAPI · iOS · VercelAWS SageMaker · Bedrock · HealthOmics · DockerMulti-GPU distributed training · HPC

Experience

2026 — now
Postdoctoral Associate
Yale University — foundation models & generative modeling
Summer 2026
AI Research Scientist Intern
Abbott Cancer Diagnostics — genomic AI & precision oncology
2022 — 2026
Graduate Researcher
University of Southern California — biological pathology AI/ML
2020 — 2022
Graduate Researcher
Johns Hopkins University — statistical genetics, multi-omics
2020
Research Assistant
Washington University in St. Louis — clinical informatics

Education

2022 — 2026
Ph.D., Computational Biology & Bioinformatics
University of Southern California · Viterbi Fellow
2020 — 2022
M.S., Biostatistics
Johns Hopkins University · Delta Omega Honor Society
2018 — 2020
B.A., Mathematics & Computer Science
Washington University in St. Louis · Cum Laude