Miguel Liu-Schiaffini

2026

1. Jul 3

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

2. Mar 30

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

2025

1. Jul 21

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

2. Jun 13

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

3. Jun 12

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

4. Apr 8

   I’m very honored to have been named an NSF GRFP fellow!

2024

1. Oct 23

   Our new paper, “Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators” is on arXiv!

2. Sep 20

   I gave an invited talk at the 2024 Human-Centered AI Conference on tipping point forecasting on function spaces. Many thanks to Prof. Fabien Scalzo for the invitation!

3. Jul 21

   I presented our recent papers “Neural Operators with Localized Integral and Differential Kernels” and “Towards Enforcing Hard Physics Constraints in Operator Learning Frameworks” at ICML 2024 in Vienna!

4. Jun 17

   I am starting my internship in the Learning and Perception research group at NVIDIA Research!

5. May 15

   I have been named a recipient of the 2024 Henry Ford II Scholar Award! I am very grateful for the support of all my mentors and from the computer science department.