Tianyu (Jack) Li 李天宇

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

I am an Master of Computational Data Science student at Carnegie Mellon University (Fall 2026), holding an undergraduate degree in Data Science from the Southern University of Science and Technology.

My interest lies in machine learning engineering — from building production-ready model serving pipelines to research in visual data representations. My background spans computer vision and NLP, with growing interest in multimodal applications. I am actively seeking MLE / applied scientist / research 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 — 12 /2025
AI Intern
PACE Solutions Limited · Remote
Leveraged the Claude API to build an automated insurance translation and financial rule extraction workflow, translating legacy code triggers into structured policy documentation.
06 / 2025 — 07 / 2025
MLE Project Intern, Smart Platform Group
Tencent Music Entertainment Group · Shenzhen, China
Developed a production-grade NLP classification pipeline with StructBERT and focal loss, improving F1-score by 10%+ and establishing a scalable Docker-based Linux serving infrastructure.
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
08 / 2026 - 12 / 2027
Master of Computational Data Science
Carnegie Mellon University · Pittsburgh, PA
08 / 2022 — 06 / 2026
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.