Connecting biological questions with actionable analyses and usable systems.
π San Diego, CA π
I'm a computational biologist and data science leader with 15+ years spanning genomics, epigenomics, single-cell multi-omics, and therapeutic data science. I combine scientific depth with hands-on software development, working across teams to turn complex questions into analyses and systems people can use.
π Working on β Scientific data platforms Β· Multi-omics Β· CAR-Treg cell therapy
π οΈ Building β Reproducible workflows Β· Knowledge tools Β· AI-assisted automation
π¬ Ask me about β Computational biology Β· Cross-functional data science Β· Scientific software
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Build an LLM-maintained knowledge base in Obsidian, with linked notes, source provenance, and review status. π Obsidian Β· Open Knowledge Format Β· Python Inside: example pages, an ingest/query/lint skill, and a deterministic linter. Publish with wiki-hosting-project. |
π wiki-hosting-projectTurn an Obsidian vault into a searchable static website, with wikilinks, aliases, and backlinks. π Python Β· MkDocs Β· Docker Β· nginx Inside: sample vault, Docker quickstart, and link-resolver tests. |
π€ claude-skillsReusable agent skills for data documentation, document conversion, and knowledge management. π§ Agent workflows Β· Markdown Β· Obsidian Start here: data-dictionary β Prisma + SQLite β Markdown documentation. |
π¬ atacCNVCall copy-number variation from ATAC-seq, from coverage processing to CNV regions and segment plots. π R Β· Shell Β· Genomics Inside: documented read filtering, coverage smoothing, and CNV workflow. |
As Director of Data Science, I work across scientific and operational questions in CAR-Treg cell therapy.
| Focus | What I contribute |
|---|---|
| π Data integration | Bring data across functions into a manufacturing data portal to support investigation and analysis |
| 𧬠Multi-omics | Develop workflows that connect biological measurements with interpretable outputs |
| π Scientific analysis | Contribute to efficacy-related and biomarker analyses with scientific colleagues |
- Illumina β Led a team developing NGS analysis applications.
- Bing Ren Lab Β· UC San Diego (2017β2020) β Contributed to NGS infrastructure and analysis workflows for epigenomics and gene regulation. Explore the lab's public work at epigen-UCSD.
- 25+ peer-reviewed publications, alongside presentations on cell therapy and multi-omics.
Genomics & Scientific Computing




