🏠Address: Chongqing, China
🏢Office: Paul Hall 309, Tulane University
📫E-mail: me@jiarui.li
📫School E-mail: jli78@tulane.edu
🔗Github: https://github.com/jiarui0923/
🔗Linkedin: https://www.linkedin.com/in/li-jiarui/
🔗Google Scholar: https://scholar.google.com/citations?user=9lcAfL8AAAAJ
🔗ORCID: https://orcid.org/0009-0001-1055-4424
📝Resume: http://resume.jiarui.li
💠Education
| 🎓 Doctorate | ||
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Tulane University Ph.D Student in Computer Science Research Field: Immunoinformatics & XAI Advised by: Prof. Mettu |
Louisiana, US Sept. 2023 - Present |
| 🎓 Bachelor | ||
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University of Nottingham Ningbo China BSc Hons Computer Science with Artificial Intelligence (First Class with Honors) |
Zhejiang, China Sept. 2019 - Jun. 2023 |
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University of Birmingham UG Aff Computer Science with Software Engineering (Exchange Program) |
Birmingham, UK Sept. 2020 - Jun. 2021 |
💠Publications
Conference Proceedings
- Li, J., Yin, Z., Smith, H., Ding, Z., Landry, S. J., & Mettu, R. R. (2025). Post-hoc Explanation for TCR-pMHC Prediction. ACM-BCB 2025:The 3rd Workshop on Advances in Systems Immunology (Accepted).
- Yin, Z.,Li, J., & Ding, Z. (2025). iMIND: Insightful Multi-subject Invariant Neural Decoding. Advances in Neural Information Processing Systems (Accepted).
[📰 Paper, 🌐 Web Page]- Li, J., Yin, Z., Ding, Z., Landry, S. J., & Mettu, R. R. (2025). Rational Multi-Modal Transformers for TCR-pMHC Prediction. In Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (Accepted).
[📰 Paper,🌐 Web Page,📦 Code]- Paynter, A., Li, J., Carbullido, M., Mettu, R., Landry, S., & Gragert, L. (2025). 370 Improving risk stratification in kidney transplant outcomes by modeling antigen processing to inform prediction of T-cell epitopes derived from mismatched HLA proteins. Journal of Clinical and Translational Science, 9(s1), 114-115.
[📰 Paper]- Li, J., Landry, S., & Mettu, R. (2024, December). GPU Acceleration of Conformational Stability Computation for CD4+ T-cell Epitope Prediction. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE.
[📰 Paper,🌐 Web Page,📦 Code]- Li, J., Landry, S., & Mettu, R. (2024, October). GPU Acceleration for Markov Chain Monte Carlo Sampling. In Proceedings of the Fourth International Conference on AI-ML Systems. ACM.
[📰 Paper]- Li, J., Ji, R., Yang, X., Li, J., Li, Y., Xiong, X., … & Cui, T. (2023, December). Prediction of Flight Arrival Delay Time Using US Bureau of Transportation Statistics. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 603-608). IEEE.
[📰 Paper]- Ji, R., Li, J., He, W., Ren, J., & Jiang, X. (2023, June). Dual-Stream Siamese Vision Transformer With Mutual Attention For Radar Gait Verification. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.
[📰 Paper]
Preprints
- Li, J., Yin, Z., Ding, Z., Landry, S. J., & Mettu, R. R. (2025). TCR-EML: Explainable Model Layers for TCR-pMHC Prediction. arXiv preprint arXiv:2510.04377.
[📰 Paper]- Li, J., Yin, Z., Smith, H., Ding, Z., Landry, S. J., & Mettu, R. R. (2025). Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding. arXiv preprint arXiv:2507.03197.
[📰 Paper]
Conference Orals
- 📰 Li, J., Yin, Z., Ding, Z., Landry, S. J., & Mettu, R. R. (2025). Rational Multi-Modal Transformers for TCR-pMHC Prediction. In Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (Accepted).
- 📰 Li, J., Landry, S., & Mettu, R. (2024, October). GPU Acceleration for Markov Chain Monte Carlo sampling. In Proceedings of the Fourth International Conference on AI-ML Systems. ACM.
- 📰 Li, J., Landry, S., & Mettu, R. (2024, June). GPU Acceleration of Conformational Stability Computation for CD4+ T Cell Epitope Prediction. In Next Gen. Conversations: Albany at Tech 2024: The 21st Conversation. Albany.
💠Grant & Funding
| Year | Grant | Authority | Amount |
|---|---|---|---|
| 2025 | 🏅Google Cloud Research Credits Program | Google GCP | $1,000.00 |
| 2024 | 🏅AWS Public Sector Cloud Credit for Research | Amazon AWS | $4,984.00 |
| 2023 | 🏅Tulane Ph.D. Funding | Tulane University | - |
💠Awards
| Year | Award | Authority | Location |
|---|---|---|---|
| 2023 | 🏆Zhejiang Excellent Graduates | Zhejiang Provincial Government | Zhejiang, China |
| 2022 | 🏆Best Performer | University of Nottingham Ningbo China | Zhejiang, China |
| 2022 | 🏆President’s Scholarship | University of Nottingham Ningbo China | Zhejiang, China |
| 2022 | 🏆Zhejiang Provincial Scholarship | Zhejiang Provincial Government | Zhejiang, China |
| 2021 | 🏆Provost’s Scholarship | University of Nottingham Ningbo China | Zhejiang, China |
| 2021 | 🏆Government Scholarship for Mobility Out | Ningbo Municipal Government | Zhejiang, China |
💠Experiences
Work Experiences
🗃️ Computer Science Department, Tulane University
Teaching Assistant
New Orleans, LA, US
Aug 2024 - Present
- CMPS 2200 Introduction to Algorithm.
Research Assistant
New Orleans, LA, US
Aug 2023 - Aug 2024
🗃️ Shanghai Institution of Materia Medica, China Academy of Science
Internship
Shanghai, China
June 2023 ‑ July 2023
- Researched SOS‑1 and SHP‑2 inhibitors
Research Experiences
🔬 T-Cell Receptor (TCR) Modeling
New Orleans, LA, US
July 2024 - Present
- Model adaptive immunity using explainable machine learning (XAI)
🔬 COREX Optimization
Computer Science, Tulane University of Louisiana
New Orleans, LA, US
Aug 2023 - Present
- Optimize COREX/BEST algorithm strcuture.
- Accelerate algorithm based on GPU platform.
- Design GUI for COREX Algorithm.
- Design new sampling algorithm for microstates sampling.
🔬 Machine Learning Based Radar Gait Verification
University of Nottingham Ningbo China
Zhejiang, China
Sept 2022 ‑ Jan 2023
- Designed a Siamese vision transformer with mutual attention.
- Designed a mutual attention fusion machenism.
- Designed a time and frequency embedding method for signal processing.
🔬 Enantiomeric Excess Prediction with Machine Learning
University of Nottingham Ningbo China
Zhejiang, China
July 2021 ‑ May 2023
- Analyzed the features of a dataset for asymmetric catalysis containing the quantum data for both substrates and catalysts.
- Designed a dual stream mutual attention transformer to predict the enantiomeric excess.
- Designed an attention U‑Net to predict the enantiomeric excess.
- Created co‑matrices for all the substances to ensure recognizable structure and model improvement.
💠Skills
Techniqual
- 🗜️ Programming: C/C++, Java, C#, Python, PHP, JavaScript, Assembly(MIPS), Haskell, VB.net, CUDA
- 🗜️ Database: MySQL, SQLite, MongoDB, Redis
- 🗜️ Web:
- Front-end: HTML, CSS, Bulma, Tailwind, JavaScript, JQuery
- Back-end: Django, Flask, IIS, Apache HTTP, Docker, Nginx
- Internet Service Maintenance: Rocket Chat, OpenVPN, Poste.io
- 🗜️ Algorithm:
- Machine Learning: Pytorch, PyG, TensorFlow, Pandas, Numpy, scikit‑learn, scipy, Numba
- Big Data: Hadoop, Spark
- Visualization: Matplotlib, Plotly, Streamlit, 3DMol.js
- 🗜️ Documentation: LaTeX, Markdown, Swagger, Overleaf
- 🗜️ Hardward: Arduino, Raspberry Pi, STM32, Digital Logical Circuit
- 🗜️ Environment: Git, Anaconda
- 🗜️ Cheminformatics & Bioinformatics: RDKit, Vina Docking, ChemDraw, DeepChem, BioPDB, Biotite
- 🎵 Musical Instrument: Guqin (Traditional Chinese String Instrument)
Languages
- 📓 Chinese Native proficiency
- 📓 Mandarin
- 📓 Chongqing Dialect I am a Chongqing citizen definetely.
- 📓 English Professional proficiency
- 📓 French Loyal Duolingo user
This post is written by Jiarui LI, licensed under CC BY-NC 4.0.