Jeremy Monat is a data scientist and cheminformatics software developer with a PhD in chemistry and over seven years of hands-on experience building backend systems, databases, and cloud deployments. He specializes in Python-driven cheminformatics (RDKit, DeepChem) and high-performance data tooling (NumPy, Polars, Pandas) and has architected and optimized database schemas and ingestion pipelines that processed hundreds of millions of records. Jeremy has deployed CI/CD-backed services on AWS and integrated chemical data pipelines with web frontends, and he has product-managed modeling tools used by 100+ users while reporting to executive leadership. An active open-source contributor, he has improved RDKit functionality and documentation and helped reorganize SymPy’s tutorials and docs—demonstrating attention to both code and developer experience. His background in physical chemistry and spectroscopy informs pragmatic solutions to materials and electrolyte discovery problems, and he pairs that domain knowledge with practical tooling like SQLAlchemy/Alembic and Flask. Based in Burke, VA, he combines scientific rigor with full-stack engineering instincts, often treating code as documentation to make complex workflows reproducible and auditable.
7 years of coding experience
15 years of employment as a software developer
North Central High School
B.S., Chemistry, B.S., Chemistry at Miami University
Certificate, Entrepreneurship, Certificate, Entrepreneurship at Northern Virginia Technology Council
Probability, Probability at University of Pennsylvania on Coursera
Certificate, Entrepreneurship, Certificate, Entrepreneurship at Northern Virginia Community College
Ph.D., Chemistry, Ph.D., Chemistry at University of California, Berkeley, College of Chemistry
The Ultimate HTML5 & CSS3 Series: Part 1, Computer Science, The Ultimate HTML5 & CSS3 Series: Part 1, Computer Science at Code With Mosh
Contributions:155 reviews, 419 commits, 50 PRs in 11 months
Contributions summary:Jeremy primarily focused on updating and improving the documentation for the SymPy project. Their contributions involved creating a "What's Next" page, reorganizing the tutorial structure, renaming top-level sections, moving content, fixing typos, and adding notes. They also contributed to the documentation style guide and updated the Sphinx configuration.
Contributions:9 reviews, 1 commit, 14 PRs in 1 day
Contributions summary:Jeremy contributed to the RDKit library by adding functionality and improving documentation. They added SMILES representations to abbreviations, implemented drawing examples within the Python Getting Started guide, and developed code for generating grid images of molecules. Furthermore, the user updated the documentation by adding a new "Include a Bond Index" recipe to the Cookbook and expanded the explanation of an explicit valence error within the Cookbook. The user also made changes that improved the library's internal structure by refactoring a core function.
cheminformaticsrdkitpythonc-plus-plussources
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