Matthew Hennefarth is a Quantum Solutions Computational Chemist at PsiQuantum with nine years of experience bridging theoretical chemistry, computational methods, and software development. He holds a Ph.D. and M.S. in theoretical chemistry from the University of Chicago and a B.S. in Physical Chemistry and Pure Mathematics from UCLA, and has built multireference electronic-structure and molecular dynamics tools (including a Velocity Verlet integrator) within PySCF to model photodynamics and catalytic reactions. His work combines high-level ab initio methods, machine learning for enhanced sampling, and practical software engineering—evidenced by contributions to open-source projects like PySCF and data-visualization improvements to Matplot++. Based in Palo Alto, he brings deep domain knowledge of conical intersections, protein electrostatics, and mixed QM/MD workflows, plus a track record of turning research-grade theory into robust, shareable code.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Chemistry, 4.0, Doctor of Philosophy - PhD, Theoretical Chemistry, 4.0 at University of Chicago
Bachelor of Science (B.S.), Physical Chemistry, 3.97, Bachelor of Science (B.S.), Physical Chemistry, 3.97 at University of California, Los Angeles
Contributions:19 reviews, 54 commits, 10 PRs in 7 months
Contributions summary:Matthew's commits focus on implementing a molecular dynamics integrator within the PySCF quantum chemistry library. They initiated files for this functionality, implemented a Velocity Verlet integrator, and refined the algorithm over multiple commits. The user made several updates to the integrator, including modifications to the core calculation and the output format. The work involved in the molecular dynamics components, specifically the integrator, suggests a back-end focus.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Role in this project:
Data Scientist
Contributions:11 reviews, 21 commits, 2 PRs in 4 days
Contributions summary:Matthew primarily focused on enhancing the data visualization capabilities of the Matplot++ library. Their commits added features for color mapping and normalization within the vector fields, along with some minor interface changes. They also implemented a 3D quiver plot example and fixed scaling issues in the vector plots, improving the overall visual representation of data.
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Matthew Hennefarth - Quantum Solutions Computational Chemist