Max Gallant
Ph.D. AI Resident at Berkeley Lab
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolMax Gallant is a computational materials scientist and software engineer with a decade of experience building simulation-driven tools to accelerate solid-state synthesis and energy materials discovery. He blends deep domain expertise from a Ph.D. program at UC Berkeley with hands-on engineering across full-stack systems, cloud infrastructure, and research software—formerly leading platform and infrastructure work at Citrine and contributing research engineering at NREL and Berkeley Lab. Now a Ph.D. AI Resident at X and active in Prof. Kristin Persson’s group, he develops simulation techniques and automated workflows that bridge materials science and ML. Max’s background uniquely pairs rigorous academic training (MS in CS with a 4.0 and a PhD in Materials Science) with product-minded engineering, and he’s equally comfortable writing APIs, CI/CD pipelines, or research code that scales from notebooks to production. An early founder of a hardware-focused startup and an award-winning undergraduate researcher, he brings entrepreneurial instincts to large-scale scientific software challenges.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - Ph.D., Materials Science, Doctor of Philosophy - Ph.D., Materials Science at University of California, BerkeleyMaster of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at The University of Texas at AustinThe University of UtahOlympic College
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (58)
javascript10
python10
css10
materials-informatics10
ruby10
code-analysis10
html10
bioinformatics10
nodejs10
genomics10
web-development10
science10
ruby-on-rails10
lattice9
simulation9
Programming languages (7)
Github contributions (5)
CitrineInformatics/python-citrination-client
Oct 2016 - Nov 2018
Reference implementation in python for Citrination api
Contributions:231 commits, 88 PRs, 114 pushes in 2 years 1 month
apicitrination-apipythonreference-implementation
mcgalcode/pylattica
Jun 2022 - Nov 2022
A simple framework for prototyping lattice evolution simulations e.g. cellular automata, lattice gas simulations, lattice Monte Carlo etc.
Contributions:2 releases, 97 commits, 23 PRs in 5 months
chemistrylatticematerials-sciencesimulation
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