Summary
Marcos Andrade is an assistant professor of chemistry and biochemistry at UC Santa Cruz who builds machine learning models that reproduce first-principles chemistry for condensed matter systems. With a PhD in theoretical chemistry from Princeton and a decade of research experience including a postdoc at Lawrence Livermore, he applies data-driven atomistic modeling to problems in photocatalysis, nanofluidics, and direct air capture of CO2. He combines rigorous theoretical training with practical simulation workflows to push ML potentials toward chemically accurate predictions in complex, heterogeneous environments. Based in California, Marcos brings both academic leadership and hands-on computational expertise to interdisciplinary teams working at the intersection of materials science, catalysis, and climate-relevant technologies.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at University of São Paulo
Doctor of Philosophy - PhD, Theoretical Chemistry, Doctor of Philosophy - PhD, Theoretical Chemistry at Princeton University
Portuguese, English