Research Area

• Methods: Machine Learning, Optimization, Policy Analysis
• Applications: Energy Systems, Hydrogen, Battery

News

• 2025.09.30: Our new work on integrating high-precision computation and reasoning. We propose a new architecure, Physically-isolated Experts Routing Network, with token-level routing among reasoning and computation experts, achieving higher accuracy than directly finetuning LLMs and significant improvements in response latency, token usage, and GPU energy consumption compared with mainstream multi-agent approaches. See PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning.
• 2024.06.06: I am honored to receive the 2024 IEEE PES Prize Paper Award, for my paper “Hydrogen Supply Chain Planning with Flexible Transmission and Storage Scheduling”. This award recognizes the most outstanding papers published during the past three years in an IEEE PES Transaction. Two papers are selected each year in average for the award since 1966. Paper Link
• 2024.03.20: Our paper “Realistic fault detection of li-ion battery via dynamical deep learning” has been selected as a featured article in the Nature Communications Editor’s highlights.
• 2024.03.06: I am honored to be recognized by IISE as part of its ESD Outstanding Young Investigator Award in 2024！This award recognizes IISE Energy Systems Division members under the age of 35 for their technical contribution to energy systems.
• 2024.01.04: Our paper “A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles” has been published in Nature Communications.
• 2023.09.23: Our paper “Realistic fault detection of li-ion battery via dynamical deep learning” has been published in Nature Communications.
• 2023.09.04: Our paper “Inherent spatiotemporal uncertainty of renewable power in China” has been published in Nature Communications.

Appointments

2025/06-now	Assistant Professor	School of Advanced Manufacturing and Robotics, Peking University
2021/09-2025/06	Assistant Professor	Department of Industrial Engineering and Management, College of Engineering, Peking University
2019/09-2021/08	Postdoctoral Associate	Massachusetts Institute of Technology

Education

2016-2019	PhD	Engineering and Public Policy, Carnegie Mellon University
2014-2016	Master	Electrical Engineering, Tsinghua University
2010-2014	Bachelor of Science	Electrical Engineering, Economics (2nd degree), Tsinghua University

Teaching

• Undergraduate: Introduction to Machine Learning
• Graduate: Carbon Neutrality and Energy Internet