Tianjiao Ding
PhD Student • Innovation in Data Engineering and Science (IDEAS) • University of Pennsylvania • Email: tjding@upenn.edu
Hi there! I am a PhD student at University of Pennsylvania, advised by René Vidal. I work closely with Benjamin D. Haeffele and Yi Ma. Prior to my PhD, I was a research assistant at ShanghaiTech University, advised by Manolis C. Tsakiris and collaborating with Laurent Kneip. I received a master’s degree in applied mathematics and statistics from Johns Hopkins University, and a bachelor’s in computer science with honor from ShanghaiTech.
Research interest: theoretical foundations of data science & emerging applications. I aim to develop both rigorous mathematics and practical implementations in my work. Recent projects include 1) geometric 3D vision 2) manifold clustering 3) sparse representation learning for foundation models 4) trustworthy AI.
Reaching out to me
I am glad to chat about research, advising, collaborations, life, and fun.
Undergraduate and MS students: If you are interested in doing research with me, feel free to contact me. The recommended time investment is at least 15 hours per week. Students I have mentored have gone on to PhD programs at UC Berkeley, Hong Kong University, MIT, NYU, and to full-time roles at Google and Meta.
Updates
Mar 2024 | One paper accepted to ICLR ‘24 (Vienna)! |
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Jan 2024 | Excited to give an oral talk of a paper accepted to CPAL ‘24 (Hong Kong)! |
Dec 2023 | I received a master’s degree in applied mathematics and statistics from Johns Hopkins University! Delighted to move forward with roots in both mathematics and computer science. |