Tian (Sunny) Qin

Harvard Computer Science

Hey! I am a 3rd year graduate student at Harvard. I am advised by David Alvarez-Melis and am part of the Machine Learning Foundations Group. I am broadly interested in data-centric machine learning, mechanistic interpretability, and their intersections.

Research

Distinguishing the Knowable from the Unknowable with Language Models.
ICML 2024
Tian Qin, Gustaf Ahdritz, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman.
[GitHub]
A Label is Worth A Thousand Images in Dataset Distillation.
Preprint
Tian Qin, Zhiwei Deng, David Alvarez-Melis.
[Arxiv] [GitHub]
Distributional Dataset Distillation with Subtask Decomposition.
ICLR 2024 DPFM Workshop, and DMLR Workshop
Tian Qin, Zhiwei Deng, David Alvarez-Melis.
[Arxiv] [GitHub]
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh.
Preprint
Tian Qin, Alex Beatson, Deniz Oktay, Nick McGreivy, Ryan P. Adams.
[Arxiv] [GitHub]

Personal

Outside research, I try to spend all my free time being outdoors: hiking and climbing. I just started mountaineering!

Contact

tqin[AT]g.harvard.edu Feel free to reach out if you are interested in collaborations, or want to chat about being women in ML community, or about anything outdoors!