Dan Tree
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDan Tree is a data scientist with 8 years of experience applying computational metabolomics, statistics, and machine learning to bio/cheminformatics problems, now focused on accelerating drug discovery in the San Francisco Bay Area. He has driven published methodological innovation—developing SIMILE for significance-aware fragmentation spectrum alignment and first-authoring a Nature Communications paper—while contributing to multiple high-impact metabolomics manuscripts. Comfortable bridging research and engineering, he has built LIMS, handled SQL/JavaScript development, and served as technical lead and debugger in collaborative lab environments. As a consultant he translated complex LC-MS datasets into actionable insight for diverse clients before joining Enveda Biosciences. He combines hands-on algorithm design with pragmatic data engineering, often extracting signal from noisy, “unideal” cheminformatics datasets. Collected training in molecular biology and bioinformatics gives him a strong domain edge when turning experimental data into production-ready models.
8 years of coding experience
4 years of employment as a software developer
University of California Santa Cruz
English, Portuguese
Github Skills (3)
atlas10
tsne10
materials-informatics9
Programming languages (3)
Github contributions (5)
biorack/simile
Feb 2021 - Jul 2022
Contributions:35 commits, 4 PRs, 24 pushes in 1 year 5 months
dgct/qmk_userspace
Dec 2024 - Feb 2025
Userspace for the Bastard Keyboards QMK firmware.
Contributions:79 pushes in 2 months
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