Cohere For AI - Guest Speaker: Elijah Cole, ML Research Scientist

Abstract: To protect a species, we must understand where it lives. Unfortunately, we only have professional range maps for a relatively small fraction of species in limited areas, many of which are out of date by the time they are released. At the same time, community science platforms like iNaturalist are collecting more species observation data than ever before. This talk will discuss how noisy crowdsourced data can be combined with machine learning to enable efficient global-scale species mapping.

Bio: Elijah Cole (https://elijahcole.me/) is a Machine Learning Research Scientist at Altos Labs in San Diego. His research focuses on machine learning and computer vision, with an emphasis on building machine learning systems that enable scientific discoveries. He received his Ph.D. from the Computing and Mathematical Sciences department at Caltech under the supervision of Pietro Perona. Before that, he completed his B.S.E. in Electrical and Computer Engineering and Mathematics at Duke University.