Tianyu (Jack) Li 李天宇

Incoming MCDS @ CMU  |  B.Sc. SUSTech  |  Visiting @ UC Berkeley

I am an incoming Master of Computational Data Science student at Carnegie Mellon University (Fall 2026), and a senior undergraduate in Data Science and Big Data Technology at Southern University of Science and Technology (SUSTech).

My interest lies in machine learning engineering — from building production-ready model serving pipelines to research in neural representations and multimedia understanding. My background spans computer vision and NLP, with growing interest in multimodal and speech applications. I am actively seeking MLE internship opportunities for Summer 2027.

10 / 2025
Our paper "LoR-SGS: Hyperspectral Image Compression via Low-Rank Spectral Gaussian Splatting" (with Ting Wang, Prof. Xile Zhao and Prof. Chao Wang) has been accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS).
10 / 2025 — Present
AI Intern
PACE Solutions Limited · Remote
Built Claude API-based pipelines for insurance document translation (EN → Traditional ZH) and structured knowledge extraction, documenting complex financial rules from legacy backend code.
06 / 2025 — 07 / 2025
MLE Project Intern, Smart Platform Group
Tencent Music Entertainment Group · Shenzhen, China
Worked on backend model (sentence classification) fine-tuning and optimization for improved performance.
09 / 2024 — 06 / 2025
Undergraduate Research Assistant
High-Dimensional Data Science and Imaging Group, SUSTech · Supervisor: Dr. Chao Wang
Developed LoR-SGS, a Gaussian Splatting-based hyperspectral image compression model achieving 26% PSNR improvement over INR baselines. Awarded research grant from Special Funds for Guangdong College Students' Scientific and Technological Innovation.
2025
LoR-SGS: Hyperspectral Image Compression via Low-Rank Spectral Gaussian Splatting
Tianyu Li, Ting Wang, Xile Zhao, Chao Wang
IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 63
Fall 2026 — Incoming
Master of Computational Data Science
Carnegie Mellon University · Pittsburgh, PA
08 / 2022 — 06 / 2026 (Expected)
B.Sc. in Data Science and Big Data Technology
Southern University of Science and Technology (SUSTech) · China
GPA: 3.87 / 4.0  ·  Rank: 4 / 49
08 / 2025 — 12 / 2025
Berkeley International Study Program (BISP)
University of California, Berkeley · USA
GPA: 4.0 / 4.0
09 / 2024
Second Prize — National Mathematical Modeling Contest
Guangdong Division, China
02 / 2024
Honorable Mention — Mathematical Contest in Modeling (MCM)
COMAP International Competition
Outside of work, I am an avid volleyball and tennis player — competing in university tournaments and following the sport closely. I draw inspiration from the precision and court intelligence of players like Simone Giannelli and Ishikawa Yuki. I also enjoy travelling and fitness, aiming to have a balanced life.