Pengpeng Xiao
Pengpeng Xiao

About Me

Hi! 😸 I’m Pengpeng Xiao (肖芃芃), a final year undergraduate student from Department of Physics, Fudan University. Starting in Fall 2025, I will begin my PhD at Yale University. My research interests lie in Scientific Machine learning (SciML), AI for Partial Differential Equations and AI for Science. I’m particularly interested in applying machine learning to PDE systems.

Previously, I was a visiting student in School of Computational Science and Engineering(CSE), Georgia Tech, working with Prof. Peng Chen. I also spent time as a visiting student in Department of Statistics and Data Science , Yale University, where I worked with Prof. Lu Lu.

Interests
  • Scientific Machine Learning
  • AI for PDEs
  • Generative AI
Education

  • BSc in Physics (Expected)

    Fudan University

🔬 My Research

My research journey began in high-energy phenomenology, where I explored fundamental physics and learned so much about the smallest scales of the universe. Over time, my interests expanded to the interplay between physics and AI, including the theoretical foundations of deep learning and quantum machine learning. Currently, I am particularly fascinated by the intersection of generative AI and PDEs, exploring how these techniques can enhance scientific computing and discovery.

I’m always open to collaborations! Feel free to reach out via email (p.xiao@yale.edu) or WeChat (luuuuuhan777) 😃

What’s New?

[Feb 28, 2024] 🎤 Presented Quantum DeepONet at the CRUNCH Seminar.

[Nov 28, 2024] 📄 Our paper LD-EnSF is now on arXiv!

[Oct 23, 2024] 🎤 Presented a poster on Quantum DeepONet at SIAM MDS in Atlanta.

[Oct 16, 2024] 🎤 Gave a talk on LD-EnSF at ROM+ML4LES+ at Emory.

[Sep 24, 2024] 📄 My first paper Quantum DeepONet is now on arXiv!

Featured Publications
LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
Quantum DeepONet: Neural operators accelerated by quantum computing
Recent Publications
Pengpeng Xiao, Phillip Si, Peng Chen (2024). LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations.
PDF
Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu (2024). Quantum DeepONet: Neural operators accelerated by quantum computing.
PDF Poster Video
Recent Talks
Quantum DeepONet

Experience

  1. Research Intern

    Georgia Institute of Technology
    • Working with Prof. Peng Chen on Latent Dynamics Ensemble Score Filter

  2. Research Intern

    Yale University
    • Working with Prof. Lu Lu on Quantum DeepONet

  3. Research Intern

    University of Utah
    • Working with Prof. Zhengkang Zhang on the Effective Field Theory of Deep Neural Network

Education

  1. BSc in Physics (Expected)

    Fudan University

    Advisor: Prof. Jiayin Gu

    Courses included:

    • Quantum Field Theory, Particle Physics
    • Classical Mechanics, Quantum Mechanics, Electrodynamics, Thermodynamics
Skills & Hobbies
Hobbies
Hiking
Cats