Jason has a PhD in computational biology where he developed hierarchical Bayesian statistical models for classification of cancer tumor expression data. In addition, he developed high performance Markov chain Monte Carlo techniques to discover gene regulatory networks in this data using Bayesian networks. He then applied these techniques on the world’s largest database of human genomes at Human Longevity Inc. before jumping into the heart of machine learning at Nervana to advance what is possible with machine learning.