I’m a Research Scientist at Bosch Research and Tsinghua-Bosch Joint Research Center on Machine Learning, closely collaborating with Prof. Jun Zhu’s Research Group at Tsinghua University. I’m generally keen on core machine learning and artificial intelligence research, as well as their applications in the physical world. My current research is focused on generative models, world models, and multimodal foundation models for autonomous driving and robotics/embodied AI. I also build LLM-based evolutionary agents for code generation to optimize large-scale industrial problems.

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.