Passionate about building and shipping data + AI products for consumers and enterprises, with 12+ years of product and research experience at MIT Media Lab, Microsoft, IBM Research and Philips Medical Systems. Exceptional analytical and execution skills, experience in managing cross-functional teams in various environments and delivering high-quality customer experiences.
Author of "Links that speak: the global language network and its association with global fame" (Science Magazine's top 10 science news stories for 2015). Always eager to learn and explore new areas to impact, from supply chain optimization to the study of propaganda in Ancient Rome.
I'm currently a PM at Microsoft working on Bing Predicts. We use search, social, and other relevant data to make intelligent predictions about upcoming events, like sports games, reality TV shows, and more. I was previously at MSN, building the pipeline for collecting data from hundreds of millions of users every month, and building tools to analyze the data.
As a graduate student at the MIT Media Lab's Macro Connections group, I used network science and large data sets to map and quantify cultural impact; my projects included the Global Language Network, Connected History, and Pantheon. I also experimented with rapid prototyping and explored new models and user perception of data privacy as an intern at Microsoft Research.
Previously, I led the software testing team for the Philips Brilliance 16 CAT scanner, and researched and developed tools and methodologies for secure access for cloud storage and long-term preservation of digital data at IBM Research. In addition to my CS degrees I have a master's in ancient history, and wrote my thesis on the use of warrior goddesses in political propaganda in late-Republican Rome.
Copyright (c) Shahar Ronen, 2010-2017