Daniel Schwalbe-Koda
Assistant Professor · Machine Learning
University of California, Los AngelesUnited States
About
Daniel Schwalbe-Koda is an Assistant Professor in the Department of Materials Science and Engineering at the UCLA Samueli School of Engineering. He leads the Digital Synthesis Lab, focusing on computational and machine learning tools to predict material synthesis outcomes using theory and simulations.
- Scialog Collaborative AI Innovation Award (2025)
- Scialog Collaborative Innovation Award (2024)
- U.S. Department of Energy Early Career Award (2024)
- Forbes 30 Under 30 in Science (2023)
- Lawrence Livermore National Laboratory Fellowship (2022)
His research addresses AI-supported synthetic chemistry and automated experimentation under the Scialog Automating Chemical Laboratories initiative, funded by the Research Corporation for Science Advancement and co-sponsored foundations. Projects include computational methods for structure identification in chemical mixtures and exploring information gains in automated labs with hardware constraints.
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