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
Complex-valued diffusion priors in k-space for accelerated MRI reconstruction
Amit Rand,
Thomas Coudert,
Zhengyang Ming,
Xinran Gao,
Dan Ruan,
Kim-Lien Nguyen
2026 ICLR, Real-World Constrained and Preference-Aligned Flow and Diffusion-Based Models. Rio de Janeiro, Brazil. Under review.
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
Beyond Conventional Transformers: A Medical X-ray Attention Block for Improved Multi-Label Diagnosis
Amit Rand, Hadi Ibrahim
2025 NeurIPS, Imageomics: Discovering Biological Knowledge from Images Using AI. San Diego, California, USA
CVIRL fMBV-Microvascular Network Pipeline GUI
Amit Rand, Nikolai Ramalingam, Mostafa Mahmoudi, Kim-Lien Nguyen
2024 Proprietary to
CVIRL