Modeling and predicting events for work and pleasure. Always have been, and always will be, passionate about predictions. During my PhD and my work at Microsoft Research I was leading research in the field of Predictive Analytics.
I developed predictive algorithms that automatically discovered early indicators of globally impactful events, including political riots and disease epidemics. In 2013, I was named to the MIT Technology Review’s 35 Young Innovators Under 35, and in 2015, Forbes 30 under 30 rising stars in enterprise technology. Currently, I am thrilled to be the Chief Scientist & Director of Data Science of eBay (Israel), following the acquisition of SalesPredict. We are structuring billions of product text to create the world’s largest catalog from completely unstructured data and predicting economic interaction of millions of users. I write about the application of Predictive Analytics both for general good and in business (mainly in HBR). I remain involved in research activities including: publishing work, organizing workshops and tutorials, and speaking at the world’s leading data mining conferences (Strata Big Data conference, WWW, WSDM and more) and thought-leader business conferences (Wall Street Journal conference, Inbound , TEDx). I am a visiting professor at the Technion, Israel Institute of Technology, where I am academically supervising and growing new researchers for graduate degrees to create more science magic. I serve in the technology advisory board of HSBC and in the board of Maccabi Health Data Science Institute.