Schmidt AI In Science Research Fellow at Imperial College London
London, England, United Kingdom
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Summary
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Senior
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Austin Mroz is a Schmidt AI in Science Research Fellow at Imperial College London with nine years’ experience at the intersection of experimental chemistry, materials discovery, and scalable AI. Trained as a mechanical engineer turned chemist with a PhD in physical chemistry, he develops data-driven closed-loop optimization algorithms, generative models, and highly efficient computational workflows that can reduce resource needs by up to a million-fold. He has led industry collaborations (BP-ICAM), secured over £60K in research funding, and built open-source tools and database structures to democratize AI-driven materials discovery. Beyond research, Austin co-directs a Women in AI network, teaches Bayesian optimisation to diverse audiences, and manages shared HPC/compute infrastructure—combining hands-on software and simulation engineering with practical lab collaboration to accelerate discovery.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physical Chemistry, Doctor of Philosophy - PhD, Physical Chemistry at University of Oregon
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at Rose-Hulman Institute of Technology
Surface Topology REcovery Using Sampling of ELectric field -- Calculate i) atomic/molecular volumes, ii) pore volumes and surface areas of porous materials, and iii) interaction energies
Contributions:14 commits, 8 PRs, 15 pushes in 6 months
porous-materialsenergiessurfaceiiiporous
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Austin Mroz - Schmidt AI In Science Research Fellow at Imperial College London