Scholar
Miguel Liu-Schiaffini
Google Scholar ID: LebtA84AAAAJ
Stanford University
Citations & Impact
Citations
464
H-index
7
i10-index
5
Publications
10
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Neural Operators with Localized Integral and Differential Kernels' and others; Received the 2024 Barry Goldwater scholarship; Named an NSF GRFP fellow.
Research Experience
- Research intern in the Learning and Perception group at NVIDIA Research; Research intern at the University of Texas Institute for Geophysics.
Education
- PhD student in the Computer Science Department at Stanford; Undergraduate studies at Caltech, where he worked in Anima Anandkumar's AI + Science lab.
Background
- Research interests include the theory and applications of neural operators and operator learning, particularly in their application to solving partial differential equations (PDEs). Passionate about the scientific applications of machine learning, including using ML for forecasting climate tipping points, estimating glacial ice thickness, and characterizing features of the Martian terrain.
