MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI
NeurIPS 2026
Professional Summary
I’m a second-year PhD student in Computer Science at the University of Southern California in Los Angeles, advised by Professor Mahdi Soltanolkotabi. My research focuses on computational imaging, medical imaging, and deep learning, with an emphasis on building reliable learning-based imaging systems. Before beginning my PhD, I worked as a Junior Research Scientist at Ubicept (2024–2025) on SPAD-based imaging. I earned my BS in Systems Engineering from Universidad Industrial de Santander in Colombia, where I was a member of the High Dimensional Signal Processing (HDSP) research group.
Education
BS Systems Engineering
Universidad Industrial de Santander
PhD in Computer Science
University of Southern California
Interests
Artificial Intelligence
Computer Vision
Computational Imaging
Featured Publications
Learning to Describe Scenes via Privacy-aware Designed Optical Lens
Journal on IEEE Transactions on Computational Imaging
Automated Chronic Wounds Medical Assessment and Tracking Framework Based on Deep Learning
Journal on Elsevier: Computers in Biology and Medicine
Recent Publications
(2026).
MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI.
NeurIPS 2026.
(2024).
Learning to Describe Scenes via Privacy-aware Designed Optical Lens.
IEEE TCI.
(2024).
Learning to Describe Scenes via Privacy-aware Optical Lens.
LatinX CVPR 2024.
(2023).
Automated Chronic Wounds Medical Assessment and Tracking Framework Based on Deep Learning.
Elsevier: Computers in Biology and Medicine.
(2022).
Optics lens design for privacy-preserving scene captioning.
In ICIP 2022.