Carlos Castillo-Passi

Postdoctoral Scholar · Stanford University

Carlos Castillo-Passi

I am a postdoctoral scholar at Stanford working at the intersection of mathematics, physics, computing, and medical imaging. My goal is to automate MRI discovery for better patient care. I envision AI systems learning through simulation and scanner validation. My current research combines differentiable physics and compilers for fast, accurate, open-source MRI simulation on ML accelerators, supporting sequence design and reconstruction.

ORCID Google Scholar GitHub Stanford profile

Selected

Projects

Open-source MRI simulation

KomaMRI.jl

2022–Present · Currently at Stanford University

Fast, accurate, Pulseq-compatible MRI simulation, with a student-friendly GUI and an extensible API for advanced research.

Overview (17 outputs)

GPU-accelerated inverse problems

Differentiable Physics for MRI

2025–Present · Currently at Stanford University

Automatic differentiation through GPU-accelerated MRI simulations for inverse problems, from RF pulse and sequence design to simulation-based reconstruction.

Overview (3 outputs)

Low-field cardiovascular MRI

Whole-heart MRI at 0.55T

2023–2025

Free-breathing whole-heart MRI at 0.55T, combining coronary angiography with CMRA and simultaneous lumen and vessel-wall imaging with iT2prep-BOOST.

Overview (4 outputs)

Distinctions

Awarded papers and abstracts

Awards and publication record →

Support

Research funding