Daniel Pimentel-Alarcón papers & code talks teaching students research hobbies


Daniel's research interests include machine learning, signal processing, optimization, statistics, algebraic geometry, and everything data science.

While Daniel's interests are somewhat theoretical, his work has cool applications in biology, astroinformatics, neuroscience, vision, networks inference, drug discovery, and recommender systems, to name a few.