About Me
Hi, I'm Jingdan Chen (陈 敬丹), a second-year Ph.D. student in the Jackson Lab at the University of Illinois Urbana-Champaign (UIUC). My research focuses on reactivity in polymerization process, serving as a foundational approach to understanding polymer synthesis and degradation, paving the way for virtual screening and de novo design problems.
Motivated by the Ten Problems in Polymer Reactivity Prediction, my Ph.D. research bridges the gap between experimental chemistry, computational chemistry, and machine learning. By building integrated pipelines, I strive to solve complex challenges that no single discipline above could address alone.
Feel free to reach out if you're interested in my work! :-)
Education
University of Illinois at Urbana-Champaign
Doctor of Philosophy — Ph.D., Chemistry
September 2024 – May 2029
Wuhan University
Bachelor of Science — Chemistry
September 2020 – June 2024
Experience
University of Illinois Urbana-Champaign
Ph.D. Student / Research Assistant (Computational Chemistry and Machine Learning for Polymer Synthesis and Design)
Group: Nicholas Jackson
October 2024 – Present
Carleton University
Visiting Student / Summer Research Internship (Alchemical Molecular Dynamics)
Group: Christopher Rowley
July 2023 – October 2023
Wuhan University
Undergraduate Student Researcher (DFT for Organic Catalysis)
Group: Xiaotian Qi
September 2022 – June 2024
Westlake University
Visiting Student / Summer Research Internship (DFT for PFASs Degradation)
Group: Yanyan Zhang
June 2022 – September 2022
Teaching Experience
Teaching Assistant, University of Illinois at Urbana-Champaign
- Data Science for Chemistry and Engineering (Chem 452)
- Elementary Organic Chemistry (Chem 232)
Teaching Assistant, Wuhan University
General Chemistry
Publications
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Dechlorination helps defluorination: insights into the defluorination mechanism of florfenicol by S-nZVI and DFT calculations on the reaction pathwaysEnvironmental Science & Technology
Conference Presentations
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A Machine Learning Model for Copolymer Radical Reactivity Ratio Predictions with Frontier-Orbital Insights
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Quantitative Steric-Electronic Effect Dissection (QSED) Model for Asymmetric Protonation
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Oriented Mechanism Investigation on Asymmetric Decarboxylative Protonation of Aminomalonic Acids