Daniel Pimentel-Alarcón

Daniel Pimentel-Alarcón is an Assistant Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin–Madison. His research focuses on machine learning and mathematical optimization for biomedical applications, including matrix completion, subspace clustering, and computer vision. He earned his PhD in Electrical and Computer Engineering from the University of Wisconsin–Madison.

His work addresses challenges in handling incomplete data through innovative algorithms like Deep-Union Completion and Grassmannian-based visualization techniques. Recent projects explore contrastive learning, neural network architectures, and topological data analysis.

For more details, visit his lab's website at https://danielpimentel.github.io.