John Mark Agosta currently serves as lecturer in San Jose State's Engineering Extended Studies Department and as Consulting Data Scientist for Win-Vector Labs. Most recently he left full-time employment after eight years with Microsoft, as part of the Azure Data AI Co-innovation Engineering Team. His background in applied research in the Bay Area extends back to the early days of AI, including positions at SRI International, Toyota ITC, and Intel Research, interspersed with stints at several startups, during which he's written over 30 peer-reviewed publications and 6 accepted patents. He founded the Bayesian Applications Workshop in 2002 that accompanies the Uncertainty in AI conference, and was awarded a Business Fellowship at the Santa Fe Institute in 2007. He holds a Bachelor's in Physics from Yale University, a Master's in Science Policy from George Washington University, and a PhD in Management Science and Engineering from Stanford University.