Andre Esteva is a researcher and entrepreneur in deep learning and computer vision. He has co-founded two startups and obtained four advanced degrees.
He obtained his PhD in Artificial Intelligence at Stanford, advised by Sebastian Thrun and co-advised by Stephen Boyd, authoring 11 publications which have been cited over 2300 times and covered by over 200 news outlets. His research was in deep learning and computer vision, with applications built for dermatology, drug screening, neuroscience, and psychiatry.
Notably, his work showed that computer vision algorithms could match the performance of dermatologists at classifying skin cancer from images. His work has made the cover of Nature, as well as Cell, Nature Medicine, NeurIPS, and other venues. It has been widely covered by the WSJ, Fortune, BBC, The Economist, and similar news outlets. He interned at Google Research, Sandia National Labs, and GE Healthcare.
He finished undergraduate degrees with highest honors in Electrical Engineering and Pure Math from UT-Austin and was awarded Engineering Valedictorian (formally, the Outstanding Scholar-Leader Award).