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! :-)

Download my CV

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

  1. A Machine Learning Model for Copolymer Radical Reactivity Ratio Predictions with Frontier-Orbital Insights
    J Chen, NE Jackson
    Chemistry of Materials
  2. Spontaneous aqueous defluorination of trifluoromethylphenols: substituent effects and revisiting the mechanism
    Z Guo, GW Tremblay, J Chen, S Joudan
    Environmental Science: Advances
  3. Chemllm: A chemical large language model
    D Zhang, W Liu, Q Tan, J Chen, Y Li, et al.
    arXiv preprint
  4. Dechlorination helps defluorination: insights into the defluorination mechanism of florfenicol by S-nZVI and DFT calculations on the reaction pathways
    Z Chen, J Chen, S Tan, Z Yang, Y Zhang
    Environmental Science & Technology
  5. Modular and diverse synthesis of amino acids via asymmetric decarboxylative protonation of aminomalonic acids
    WF Zheng, J Chen, X Qi, Z Huang
    Nature Chemistry

Conference Presentations

  1. A Machine Learning Model for Copolymer Radical Reactivity Ratio Predictions with Frontier-Orbital Insights
    Oral, ACS Spring Meeting, Atlanta, GA, USA, 2026
  2. Quantitative Steric-Electronic Effect Dissection (QSED) Model for Asymmetric Protonation
    Poster, The 34th CCS Congress, Guangzhou, China, 2024
  3. Oriented Mechanism Investigation on Asymmetric Decarboxylative Protonation of Aminomalonic Acids
    Oral, The 23rd International Conference on Organic Synthesis, Shanghai, China, 2023

Fellowships (since Graduate School)

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Ullyot Fellowship — July 7, 2025