I’m a Research Scientist at Bosch Research (Center for Artificial Intelligence), based in the Tsinghua-Bosch Joint Research Center on Machine Learning and in collaboration with Prof. Jun Zhu’s Research Group at Tsinghua University. I’m generally keen on core machine learning research and its applications in the physical world. My current research focuses on video generation and world modeling with diffusion and autoregressive models for autonomous driving and embodied AI.

Previously, I obtained my PhD degree in Machine Learning from University of Cambridge and Max Planck Institute for Intelligent Systems under the Cambridge-Tübingen PhD Fellowship, advised by Prof. José Miguel Hernández-Lobato and Prof. Bernhard Schölkopf. During my PhD studies, I interned at Microsoft Research. My PhD research centered around probabilistic machine learning and its scientific applications, with a particular interest in the synergy between deep learning and probabilistic inference. I developed novel meta-learning, generative modeling, and enhanced sampling methods for a range of molecular modeling tasks. In addition, my previous research also investigated neural network training dynamics and optimization algorithms.