Sergei Kliavinek

Sergei received his BS degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology. His undergraduate research focused on the molecular dynamic study of the glass transition process in metals. In 2022, Sergei received his MSc in Computational Science and Engineering at École Polytechnique Fédérale de Lausanne, where he did research on the implementation and application of machine learning methods for materials property modeling. In January 2023, Sergei started his PhD program at Caltech. His research focuses on the use of deep learning methods for modeling electronic transport in materials.