Kyle Beauchamp
Senior Director Of Data Science
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Beauchamp is a Senior Director of Data Science in San Francisco with 18 years of experience applying computational science and machine learning to biomedical problems, currently leading data-driven efforts to accelerate cancer diagnostics at Tempus. He holds a PhD in Biophysics from Stanford and has a strong track record bridging academic research and industry, including leadership roles that delivered clinical adoption and reimbursement for genomic screening. Kyle combines deep domain expertise in molecular simulation, genomics, and probabilistic modeling with hands-on engineering skills—contributing to prominent open-source projects like scikit-learn and Snakemake and improving CI/CD and testing across bioinformatics tools. His background includes building production bioinformatics pipelines, shipping scientific software for large distributed projects, and mentoring cross-functional teams to translate complex algorithms into reliable clinical-grade systems. Notably, he has balanced high-level strategy with attention to detail, from publishing peer-reviewed research to fixing docs and tests in widely used scientific repositories. He brings a rare blend of rigorous academic training, product-focused engineering, and operational savvy for scaling data science in regulated healthcare environments.
17 years of coding experience
7 years of employment as a software developer
St. Louis PrioryBachelor of Science (BS), Mathematics, Physics, Bachelor of Science (BS), Mathematics, Physics at Vanderbilt UniversityDoctor of Philosophy (PhD), Biophysics, Doctor of Philosophy (PhD), Biophysics at Stanford University
Stackoverflow
65reputation
2kreached
3answers
3questions
Github Skills (60)
unit-testing10
rep10
snakemake10
restructuredtext10
pytest10
package-management10
molecular-simulation10
python10
scikit10
testing10
machine-learning10
bash10
rs10
conda10
analyse10
Programming languages (18)
Github contributions (5)
mdtraj/mdtraj
Apr 2013 - Jul 2015
An open library for the analysis of molecular dynamics trajectories
Role in this project:
Back-end Developer
Back-end DeveloperContributions:252 commits, 8 PRs, 3 pushes in 2 years 3 months
Contributions summary:Kyle primarily contributed to the core functionality of the `mdtraj` library, adding and modifying code related to file reading and data processing for molecular dynamics trajectories. They implemented single-frame support for the DCD format, added support for OpenMM-compatible positions and boxes within the `Trajectory` class, and later removed the supporting `openmm_*_all` functions. They also made intermediate changes for the `join()` function with `discard_overlapping_frames` functionality.
pythonmdtrajmolecular-dynamicspdbpdb-files
pysam-developers/pysam
Dec 2015 - Jun 2019
Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.
Role in this project:Back-end Developer
Back-end DeveloperContributions:95 commits, 45 PRs, 7 pushes in 3 years 6 months
Contributions summary:Kyle primarily focused on fixing and improving documentation within the codebase. These updates involved correcting docstrings, clarifying API usage, and improving the descriptions of various classes and functions. Additionally, the user was involved in refactoring and cleaning up existing code by removing deprecated functions and methods. The user also improved testing infrastructure by updating the travis build file to run the tests on OS X and Linux.
bcftoolsapipythonbcfpowers
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