Anup Doshi

Anup has a deep enthusiasm for leading cross-functional teams to extract and deploy actionable, predictive insights from data. He has a track record of developing innovative solutions from conception to delivery, in support of highly predictive user experiences across industries including retail, manufacturing, cyber-physical security, automotive, and finance. Prior to Engage3, Anup served as a Senior Scientist at Opera Solutions where he led the development of analytic products with a focus on unstructured text mining, social media analytics, anomaly detection, and behavior prediction. He previously worked as a Post-doctoral Researcher at UC San Diego where he led collaborations with industry partners to deploy intelligent human-computer safety systems based on a prediction of driver behaviors. Anup has published over 25 peer-reviewed papers in the fields of human behavior analysis, intent prediction, computer vision, and artificial intelligence. Anup holds a Ph.D. in Electrical Engineering (Signal and Image Processing) from UC San Diego and an Integrated MS and BS in Electrical and Computer Engineering from Carnegie Mellon University.