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Siyuan UserSU
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Siyuan User

@siyuanuser

I build multi-omic and LLM-powered systems that turn genomic data into actionable biological and clinical insights.

United States
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What I'm looking for

I'm looking to build industry-grade computational biology products that turn multi-omic and genomic data into useful clinical or biological insights, while working across interdisciplinary teams and continuing to solve complex real-world problems.

At BillionToOne, I built an LLM-powered tumor-variant annotation and interpretation system to improve diagnostic reports and replace QIAGEN Clinical Insight Variant Insights, alongside a web app and database for curating annotation evidence.

At the University of Wisconsin–Madison, I decode adaptive evolution through multi-omics and Bayesian modeling. I've built computational and wet-lab workflows spanning WGS, ATAC-seq, RNA-seq, and proteomics; developed a framework for adaptive multi-omic traits; and investigated the genomics of an agricultural pest responsible for $1 billion in annual losses.

I've published 26 peer-reviewed papers, including 11 as lead bioinformatician on a 30-person research team. I also build independent software, from genetic-data-to-orchestral-music composition to shared context tools for LLM agents.

Experience

Work history, roles, and key accomplishments

BillionToOne, Inc. logoBI

Computational Oncology Research Intern

Jun 2025 - Aug 2025 (2 months)

Built an LLM-powered tumor-variant annotation and interpretation system to deliver higher-quality diagnostic reports and reduce cost by replacing the QIAGEN Clinical Insight Variant Insights system. Built a web app and database to visualize and curate variant annotations and experimental evidence.

Education

Degrees, certifications, and relevant coursework

University of Wisconsin - Madison logoUM

University of Wisconsin - Madison

Doctor of Philosophy, Genetics

2020 -

Grade: 4.0/4.0

PhD candidate and MS in Genetics with a 4.0 GPA. Thesis focuses on decoding the regulatory blueprint of adaptive evolution using multi-omics.

Tech stack

Software and tools used professionally

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