Benjamin Lacar
Staff Machine Learning Researcher at Seer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBenjamin Lacar is a Staff Machine Learning Researcher in San Francisco with a decade-long background at the intersection of AI/ML, bioinformatics, and neuroscience. He has progressed from academic research (Ph.D. work in neuroscience and postdoc) to industry roles in fluidics and health data science, now applying Bayesian and machine learning methods to real-world biomedical problems at Seer. Benjamin contributes educational Bayesian inference resources to the popular PyMC community, translating complex statistical methods into clear, reproducible notebooks and end-of-chapter solutions. His work blends rigorous experimental science with production-ready data science, and he often bridges domain expertise in biology with practical ML tooling for healthcare innovation. Colleagues describe him as an educator-researcher who makes sophisticated models accessible and actionable for cross-disciplinary teams.
8 years of coding experience
15 years of employment as a software developer
Ph.D., Ph.D. at Yale UniversityBS, BS at University of California, Los Angeles
Swedish, English
Github Skills (9)
bayesian-statistics10
pymc10
jupyter-notebook10
bayesian10
python10
bayesian-inference10
data-analysis10
arviz9
numpy9
Programming languages (7)
Github contributions (5)
pymc-devs/pymc-resources
Jan 2022 - Dec 2022
PyMC educational resources
Role in this project:
Data Scientist
Data ScientistContributions:8 commits, 8 PRs, 10 comments in 11 months
Contributions summary:Benjamin's commits focus on creating and documenting solutions to end-of-chapter problems related to Bayesian inference and statistics. They are working within the `pymc-resources` repository, suggesting use of the PyMC library. The changes include code snippets to solve problems, including numerical examples, and documentation using Markdown within Jupyter notebooks. This user is actively engaged in applying Bayesian methods and contributing to educational resources.
pymcbayesian-inferencebayesian-statisticsdata-sciencedata-analysis
benslack19/stats_rethinking
Feb 2021 - Nov 2022
Contributions:91 commits, 77 pushes, 1 branch in 1 year 8 months
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