About

Daniel Schwalbe-Koda is an Assistant Professor in the Department of Materials Science and Engineering at UCLA Samueli School of Engineering. His research focuses on accelerating materials modeling by integrating high-performance computing, machine learning, literature data, and atomistic simulations. His group develops models to bridge the gap between computational predictions and experimental results, creating tools for autonomous laboratories and interpreting characterization data. Additionally, his interests include developing new generative approaches for materials modeling and proposing principles that connect materials theory, simulations, and experiments. Dr. Schwalbe-Koda holds a Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology, earned in 2022. His educational background also includes a Master's degree in Physics and a Bachelor's degree in Electronic Engineering from the Aeronautics Institute of Technology in Brazil. He has received numerous awards, including the DOE Early Career Award, the Lawrence Postdoctoral Fellowship, and recognition as a Forbes 30 Under 30 in Science. His notable publications include contributions to the fields of amorphous materials, atomistic machine learning, zeolite phase control, and molecular geometry sampling, reflecting his active engagement in advancing materials science through computational and theoretical methods.

Awards & honors

• DOE Early Career Award (2024)
• Scialog Fellow (2024)
• Forbes 30 Under 30: Science (2023)
• LLNL Lawrence Postdoctoral Fellowship (2022)
• MRS Graduate Student Gold Award (2021)

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