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ShiqianTan/README.md

👋 Hello, I'm Shiqian Tan

A passionate developer and researcher focused on AI4Science, especially AI4Polymer and computational materials science.
I'm currently a PhD candidate in Materials Science and Engineering at The Chinese University of Hong Kong, Shenzhen, working on machine learning for polymeric materials.


🎓 Education

  • PhD Candidate in Materials Science and Engineering
    The Chinese University of Hong Kong, Shenzhen (2023 – Present)
    GPA: 3.83/4.0 | Supervisors: Prof. Shiping Zhu, Prof. Qi Zhang, Prof. Tianshu Yu
    Research: Machine learning for polymeric materials, polymer property prediction, generative models

  • MSc in Physical Chemistry
    Fudan University (2019 – 2022)
    Supervisor: Prof. Xin Xu
    Research: Theoretical and computational chemistry, DFT, xDH@B3LYP methods

  • BSc in Chemistry
    Huazhong University of Science and Technology (2015 – 2019)
    GPA: 3.82/4.0 (Top 10%)


🔬 Research Interests

  • Machine Learning for Polymeric Materials
  • Polymer Property Prediction & Optimization
  • Generative Models for Material Design
  • Interpretable AI in Materials Science
  • Quantum Chemistry & DFT

🛠️ Technical Skills

Programming & Tools
Python PyTorch Fortran C++ LaTeX Git Bash

Quantum Chemistry Software
FHI-aims, Q-Chem, PySCF, Gaussian 09/16, PSI4

Languages
Chinese (Native), English (IELTS 6.5)


📌 Featured Projects

Project Description Tech Stack
Lap-Shear Strength Prediction ML-based prediction of adhesive strength using active learning Python, Bayesian Optimization, Regression Models
CO₂ Sorption in PILs Interpretable ML prediction using physicochemical descriptors SVR, SHAP, Python
Polymer Solubility in ILs ML approach to predict polymer solubility in ionic liquids Data Mining, Machine Learning
Generative Monomer Design Multi-conditional monomer design using CVAE PyTorch, Multi-task Learning
AI Chatbot for Plastic Recycling LLM-based assistant for plastic waste recycling LLM, Database Construction

📄 Publications

Tan, S., Wang, Y., Zhang, I. Y., & Xu, X. (2022).
Assessment of Advanced xDH@B3LYP Methods in Describing Various Potential Energy Curves Driven by π-π, CH/π, and SH/π Non-Bonded Interactions.
Chinese Journal of Chemical Physics, 35(5), 720–726.
(First Author)


👨‍🏫 Teaching Experience

  • Physical Chemistry (Leading TA) – CUHK(SZ), 2024
  • Ordinary Differential Equations – CUHK(SZ), 2024
  • Mechanics – CUHK(SZ), 2025
  • Quantum Chemistry – Fudan University, 2021

💼 Work & Internship

  • ByteDance – Data-AML-Scientific Computing (2022–2023)
  • ByteDance – Data-AML-Engine Intern (2022)
  • ByteDance – TikTok-Quality Assurance Intern (2021)
  • Research Assistant – CUHK(SZ), Prof. Guijuan Cheng’s Group (2023)

📊 GitHub Stats

Shiqian's GitHub Stats

Top Languages



📫 Get In Touch

微信公众号: 鲸落生

鲸落生 微信公众号二维码

扫码关注我的公众号,获取更多AI4Polymer技术分享


⭐️ From ShiqianTan

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  1. AI4Polymer AI4Polymer Public

    Awesome list about AI4Polymer

    15 1

  2. PolymerDatabaseCollection PolymerDatabaseCollection Public

    1

  3. AI4PolymerTutorial AI4PolymerTutorial Public

    A collected tutorial of AI4Polymer

    Jupyter Notebook 1

  4. PyPolyML PyPolyML Public

    1

  5. OpenPolymerPredictor OpenPolymerPredictor Public

    A web app for predicting properties of polymers

    Python 1

  6. AI4PolymerCommunity AI4PolymerCommunity Public

    A community for AI4Polymer with papers, tutorials, datasets, and web apps.

    HTML 1