cv
experience and education
2025 - present
University of Wisconsin-Madison
Ph.D. in Industrial Engineering. Advisor: Prof. Kaibo Liu.
Ph.D. in Industrial Engineering. Advisor: Prof. Kaibo Liu.
2022 - 2025
Tsinghua University, Industrial Statistics and Data Analytics Lab
Research assistant, advised by Prof. Chen Zhang. Multi-agent reinforcement learning for resilient supply chains; deep reinforcement learning for bilevel optimization; keyphrase generation with pretrained language models. Co-wrote chapters on machine learning, reinforcement learning, and Monte Carlo tree search for Machine Learning: Industrial Big-Data Analysis (Tsinghua University Press).
Research assistant, advised by Prof. Chen Zhang. Multi-agent reinforcement learning for resilient supply chains; deep reinforcement learning for bilevel optimization; keyphrase generation with pretrained language models. Co-wrote chapters on machine learning, reinforcement learning, and Monte Carlo tree search for Machine Learning: Industrial Big-Data Analysis (Tsinghua University Press).
2020 - 2022
Georgia Institute of Technology
M.Sc. in Electrical and Computer Engineering.
M.Sc. in Electrical and Computer Engineering.
2021 - 2022
Ping An Technology, Shenzhen
AI researcher intern. Multimodal document understanding with pretrained language models; two invention patents.
AI researcher intern. Multimodal document understanding with pretrained language models; two invention patents.
2016 - 2020
Tianjin University
B.Eng. in Electrical Engineering and Automation.
B.Eng. in Electrical Engineering and Automation.
awards
- INFORMS QSR Best Refereed Paper Award, 2026 INFORMS Annual Meeting.
- Finalist, IISE QCRE Best Track Paper Competition, 2025 IISE Annual Meeting.
skills
- Programming: Python, C++, MATLAB, C, R; PyTorch, TensorFlow, Keras.
- Methods: deep and multi-agent reinforcement learning, bilevel optimization, statistical process control, natural language processing with pretrained language models.
- Languages: Chinese (native), English.