J Deustua is a PhD-trained chemist and software leader with 11 years of experience bridging cutting-edge quantum chemistry research and production-grade engineering. As COO and co-founder of Examol, he builds a tech-bio platform that applies physics-first and AI algorithms to democratize drug discovery for teams of any size. His background includes postdoctoral work at Caltech and deep open-source contributions to the widely used psi4 quantum chemistry codebase, where he has improved core C++ electronic-structure algorithms. He has hands-on full-stack engineering experience from Nuxt/Vue frontends to Flask backends and AWS deployments, and a track record of improving reliability and distributed job performance. Comfortable moving between research, product and infrastructure, he also taught and mentored students and shipped specialized PSI4 plugins during his PhD. An early web entrepreneur and systems admin, he combines practical DevOps instincts with advanced computational science.
11 years of coding experience
6 years of employment as a software developer
Exchange student, Chemistry, Exchange student, Chemistry at Eberhard-Karls-Universität Tübingen / University of Tuebingen
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at Michigan State University
Bachelor of Science (B.Sc.), Química, Bachelor of Science (B.Sc.), Química at Pontificia Universidad Católica del Perú
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Role in this project:
Back-end Developer
Contributions:6 reviews, 5 commits, 1 PR in 16 days
Contributions summary:J primarily contributes to the `psi4/psi4` repository by modifying and commenting on C++ source code related to quantum chemistry calculations. Their commits address aspects like AO ordering, fixing frozen-core calculations, and fixing issues in non semi-canonical ROHF and RHF calculations. They also revert a C++17 namespace feature. These changes suggest a focus on core computational chemistry algorithms and improving the software's functionality.
A research coupled-cluster program (CC) capable of performing various CC calculations, including up to quadruply excited cluster components.
Contributions:34 commits, 1 PR, 10 pushes in 2 years 3 months
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