Miguel Liu-Schiaffini

Miguel Liu-Schiaffini

PhD Student/Computer Science Department, Stanford University

mliuschi [at] stanford [dot] edu

CV

About Full bio →

I’m a second-year PhD student in the Computer Science Department at Stanford, advised by Prof. Stefano Ermon. I’m broadly interested in generative modeling and developing mathematically-principled methods for scientific applications.

Previously, I was a member of Anima Anandkumar’s AI + Science lab at Caltech, where I did my undergraduate studies, and a research intern at NVIDIA Research. I am grateful to be supported by the NSF Graduate Research Fellowship.

News All news →

  1. Jul 2026

    Our paper, “Principled approaches for extending neural architectures to function spaces for operator learning” is officially published in Nature Machine Intelligence!

  2. Mar 2026

    I have joined Prof. Stefano Ermon’s group at Stanford!

  3. Jul 2025

    I started my PhD at Stanford, where I’m currently rotating under Prof. Carlos Guestrin!

  4. Jun 2025

    Graduated from Caltech and am very honored to have received the George W. Housner Prize for Academic Excellence and Original Research!

  5. Jun 2025

    Our new paper, “Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning” is on arXiv!

Selected Publications All publications →

Honors & Awards All honors →

  1. 2025
    NSF Graduate Research Fellowship
  2. 2025
    George W. Housner Prize for Academic Excellence and Original Research Caltech
  3. 2024
    Barry Goldwater Scholarship