Juan Caicedo is a Schmidt Fellow and computer scientist at the Broad Institute of MIT and Harvard, working at the intersection of biology and machine learning. His research involves the use of deep learning and machine learning approaches to analyze microscopy images and genetic data for decoding cellular phenotypes and their interactions in order to gain deeper insights into basic cell biology, how disease affects cells, and to test different types of treatments in a high-throughput manner.
TIMESTAMPS
(00:45) – Image-based profiling
(26:15) – Algorithms for cell image segmentation
(59:10) – Characterizing cell phenotypes
(1:06:48) – Imaging interactions between cells
(1:11:19) – Cancer
(1:16:26) – Future of personalized medicine
(1:20:27) – Advice for young scientists
