About Me

Basic Information

• Male
• Married 2023
• Born in winter 1997

Education

• Argonne National Laboratory/Resident Associate
  • Sep 2023 Host: Junhong Chen
• The University of Chicago/The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
  • Sep 2023 Advisor: Junhong Chen & Yuxin Chen
• Hongkong University of Science and Technology/PG Visiting Internship Student
  • Oct 2022 - Apr 2023 Host: Minhua Shao
• Nanjing University/p.h.D→Material Science and Engineering
  • Sep 2018 - Jun 2023 Advisor: Jianguo Liu & Xuebin Wang
  • (recommended for admission without entrance exams No.1 in the department)
• Nanjing University/Bachelor→Renewable Science and Engineering
  • Sep 2014 - Jun 2018/GPA: 4.63/5.0 (top 1 in the department)
  • (independent recruitment through college entrance examination)
• Wuhan Foreign Languages School (senior high school)
  • Sep 2011 - Jun 2014 (minored in German as a second foreign language)

Advisors

• Junhong Chen, Prof. Dr.
  • junhongchen@uchicago.edu; junhongchen@anl.gov
  • Crown Family Professor of Molecular Engineering and Lead Water Strategist at Argonne National Laboratory
  • University of Chicago
• Yuxin Chen, Prof. Dr.
  • chenyuxin@uchicago.edu
  • Assistant Professor
  • Department of Computer Science
  • University of Chicago

Research Experiences

• Development of Single-Atom Electrocatalyst:
  • Material Design/Synthesis/Characterization/Electrochemical Test
  • DFT Theoretical Simulation of Catalytic Process
• Application of Machine Learning in PEMFC/PEMEC:
  • Database Preparation&Data Preprocessing
  • Script Writing for Training Machine Learning Models
  • Interpretation of Machine Learning Prediction Results
• Development of Organic Additives in Proton Exchange Membrane:
  • DFT Simulation of Organic Molecues

Skills

• Machine Learning:
  • Python Scripts; R Scripts; Linux Shell Scripts;
  • Proficient in the Use of Machine Learning Related Packages and Frameworks: Tensorflow, Keras, Pytorch, Scikit-learn, XGBoost, CatBoost, LightGBM etc.
  • Natural Language Processing Pipeline and Large Language Model Fine-Tuning
• Experimental:
  • Nano-material Synthesis, Electrochemical Testing; Material Characterization
• Theoretical Simulation:
  • First Principle Simulation: VASP
  • Quantum Chemistry: Gassausian
  • Multiphysics Simulation: COMSOL
• English Level:
  • IELTS: 7.0 Listening/Reading/Writing/Speaking: 8.0/8.0/6.5/6.0 (2022/02/27)

Academic Reports

1. The 32nd Annual Meeting of the Chinese Chemical Society
   • Oral Report
   • Apr 2021
   • Zhu Hai; China
   • A New Generation of Electrochemical Energy Research Paradigm with Artificial Intelligence
2. The 9th China Hydrogen Energy Doctoral Forum
   • Oral Report
   • Sep 2021
   • Wu Han; China
   • Machine learning's participation in the design of high-performance fuel cell membrane electrode assemblies
3. The 5th China Frontier Forum on Electrochemical Energy Technology
   • Oral Report
   • Oct 2021
   • Gui Yang; China
   • Application of machine learning in the study of key materials for fuel cells