I am Xiaowei Chen, a Postdoctoral Associate at the Lyles School of Civil Engineering, Purdue University. My research is dedicated to optimizing Electric and Shared Mobility systems to enhance their efficiency, robustness, and sustainability. By integrating data analysis, machine learning, reinforcement learning techniques, optimization methodologies, and agent-based simulators, I develop innovative operational strategies and models that address the critical challenges of modern transportation systems.

My work spans several key areas, including Synthesis Datasets Generation & Data Analytics, Operational Model Development, and System Performance & Equity Evaluation. I am dedicated to establishing a strong bridge between theory and practice, continuously seeking opportunities to bring cross-disciplinary insights to bear on long-standing challenges.

In addition to my research, I am passionate about mentoring the next generation of engineers and contributing to the academic community through teaching and collaborative projects.