Name and Pronoun
Rui "Ray" Ding
He/Him/His
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
- 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
- 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
- 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