Bio

I am a final-year undergraduate studying Mathematics and Computer Science at the University of California, Los Angeles, planning to pursue a PhD in Computer Science. My research focuses on mechanistic machine learning, building models that internalize domain structure to emulate the natural world. I am particularly interested in the domains of robot learning and AI4Math.

I currently work with Dr. Kim-Lien Nguyen on accelerated 5D MRI reconstruction at the Cardiovascular Imaging Research Lab at the David Geffen School of Medicine. I also work with Dr. Yuchen Cui on zero shot imitation learning at the Robotic Intelligence Lab. I am a grateful recipient of the James T. Henry and Meredith Henry UCLA Undergraduate Research Scholarship. I have previously worked at Amazon Project Kuiper (Leo), Leidos AI/ML Research Accelerator, Scale AI, and Q.ai (Acquired by Apple).

Publications & Software

Diffusion-based k-space inpainting for improved 5D free-running CMR reconstruction
Thomas Coudert, Amit Rand, Xinran Gao, Zhenyang Ming, J. Paul Finn, Dan Ruan, Kim-Lien Nguyen
2026 ISMRM & ISMRT Annual Meeting & Exhibition. Cape Town, South Africa
MXA architecture diagram
Beyond Conventional Transformers: A Medical X-ray Attention Block for Improved Multi-Label Diagnosis
Amit Rand, Hadi Ibrahim
2025 NeurIPS Imageomics Workshop. San Diego, California, USA
CVIRL fMBV GUI screenshot
CVIRL fMBV-Microvascular Network Pipeline GUI
Amit Rand, Nikolai Ramalingam, Mostafa Mahmoudi, Kim-Lien Nguyen
2024 Proprietary to CVIRL