Pengpeng XiaoI’m Pengpeng Xiao (่่่), a second-year PhD student in Physics at Yale University, advised by Dr. Lu Lu in the Department of Statistics and Data Science. I am supported by the Gruber Science Fellowship at Yale. My research interests lie at the intersection between AI and physics. I am particularly interested in using machine learning to model and solve physical systems, including work on quantum neural operators, partial differential equations, and data assimilation. Previously, I received my BSc in Physics from Fudan University, where I worked with Dr. Jiayin Gu on high-energy phenomenology. | Contact me: p.xiao@yale.edu |
News ๐ฅ
- [Aug 21, 2026] ๐ค We organized a minisymposium Recent advances in quantum computing and quantum machine learning in SIAM NE.
- [Jun 2026] ๐ I am honored to receive the Wu Tsai Institute Graduate Fellowship at Yale University!
- [Mar 2026] ๐ Our paper LD-EnSF was accepted by ICLR 2026!
- [Nov 1, 2025] ๐ค We organized a minisymposium Recent advances in quantum machine learning in SIAM NNP.
- [May 17, 2025] ๐ Our paper Quantum DeepONet was accepted by Quantum!
- [Feb 28, 2025] ๐ค I presented Quantum DeepONet at the CRUNCH Seminar, Brown University. Watch the video.
- [Feb 2025] ๐ I received an offer of admission to the Physics PhD program at Yale University with the Gruber Science Fellowship!
- [Nov 28, 2024] ๐ Our paper LD-EnSF is now on arXiv!
- [Sep 24, 2024] ๐ My first paper Quantum DeepONet is now on arXiv!
Publications ๐
See also my Google Scholar profile.
![]() | LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse ObservationsPengpeng Xiao, Phillip Si, Peng Chen ICLR 2026Fast data assimilation from sparse observations by combining learned latent dynamics with ensemble score filters. |
![]() | Quantum DeepONet: Neural operators accelerated by quantum computingPengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu Quantum computing accelerates neural operators for solving partial differential equations. |
Education ๐
Yale University
Fudan University
Experience โก๏ธ
Bosch
- Working on AI for PDE research
Georgia Institute of Technology
- Working with Prof. Peng Chen on Latent Dynamics Ensemble Score Filter
Yale University
- Working with Prof. Lu Lu on Quantum DeepONet
University of Utah
- Working with Prof. Zhengkang Zhang on the Effective Field Theory of Deep Neural Network
Talks and Presentations ๐ค
Quantum DeepONet
- Aug 2026New England Section of SIAM ยท Dartmouth, MA Talk
- Jun 2026AI4Science Beijing Meetup ยท Beijing, China Talk
- May 2026Gruber Symposium Oral
- Nov 2025SIAM New YorkโNew JerseyโPennsylvania Section Conference (SIAM-NNP) Oral & Poster
- May 2025Envisioning AI at Yale Poster
- Feb 2025CRUNCH Seminar, Brown University Seminar Talk
- Oct 2024SIAM Conference on Mathematics of Data Science (MDS24) Poster
LD-EnSF
- Apr 2026International Conference on Learning Representations (ICLR) Poster
- Oct 2024Reduced Order Modeling & ML for Large Eddy Simulation Oral
Selected Awards and Honors ๐
- Wu Tsai Institute Graduate Fellowship, Yale University, 2026
- Gruber Science Fellowship, Yale University, 2025
Hobbies ๐จ
๐ท Photography โฐ๏ธ Hiking ๐บ Cats
I'm always open to collaborations! Feel free to reach out via email or WeChat (luuuuuhan777).

