Juan C. Caicedo, Ph.D.
Juan C. Caicedo is a Schmidt Fellow at the Broad Institute of MIT and Harvard. He is pioneering the use of deep learning and machine learning methods to analyze microscopy images and high-resolution genetic data. He is also exploring reinforcement learning, a method of training algorithms, as a way to optimize biological experiments. He collaborates with the Cell Circuits and Epigenomics Programs and the Imaging Platform.
Caicedo received his Ph.D. in computer engineering from the National University of Colombia. He completed internships at Google Research, Microsoft Research, and Queen Mary University of London as a grad student. As a postdoctoral researcher at the University of Illinois at Urbana-Champaign, he studied object detection problems in internet scale image collections with deep reinforcement learning. He most recently held a postdoc position with the Imaging Platform at Broad.