Joel Shor is Director of Machine Learning at the Allen Institute, where he leads AI efforts within AI BioDesign. He founded Move37 Labs, an AI for Biotech consultancy applying AI to problems in tech bio, healthcare, and drug discovery. He is a visiting researcher at the University of Texas at Austin and Boston University College of Engineering. Previously, he was VP of Machine Learning at Deep Genomics, leading ML for RNA-based therapeutic discovery, and a staff software engineer at Verily Life Sciences, where he built vision and speech technologies to improve gastroenterology diagnoses and applied ML to uncover causes of disease. During more than seven years at Google, he created and led TensorFlow GAN, a generative-modeling library with over 6.5 million downloads; founded Project Euphonia, which uses AI voice technology to help people who have lost their voice communicate; and launched a 28-day COVID-19 forecast for Japan that reached millions of viewers and informed government policy, published in npj Digital Medicine. He holds an AB in mathematics from Princeton University, where he was the sole recipient of the Manfred Pyka Memorial Prize for outstanding work in physics.