Data Science, AI
Data Science • Deep Learning
Juan M, Lavista Ferres is currently the General Manager and Lab Director of the Microsoft AI For Good Research Lab, where he works with a team of data scientists and researchers in AI, Machine Learning and statistical modeling, working across Microsoft AI For Good efforts. These efforts includes projects in AI For Earth, AI for Humanitarian Action, AI For Accessibility and AI For Health.
Juan started the Microsoft efforts related to SIDS (sudden infant death syndrome), and his work has been published in top academic Journals including Pediatrics. His work has been covered in New York Times, CNN, Chicago Tribune, USNews, USAToday , and over 100 news outlets around the world..
Juan joined Microsoft in 2009 to work for the Microsoft Experimentation Platform (EXP) where he designed and ran randomized control experiments across different Microsoft groups. Juan also worked as part of the Bing Data Mining team, where he led a group applying data mining, machine learning, statistical modeling and online experimentation at a large scale as well as providing data services for Bing.
Juan is involved in working to define the data science discipline within Microsoft, and is currently the editor of the Microsoft Journal of Applied Research (MSJAR).
Before joining Microsoft, Juan was the CTO and co-founder of alerts.com. Previously, he spent 6 years in Washington working at the InterAmerican Development Bank applying data science to understand the impact of programs for reducing poverty and inequality in Latin-America and the Caribbean. Juan has two computer science degrees from the Catholic University in Uruguay, and a graduate degree in Data Mining and Machine Learning from Johns Hopkins University. He lives in Kirkland, WA, with his wife and three children. He has been a speaker in the US at Strata, IEEE, Berkeley, Cornell, and in many countries including Canada, Switzerland, Argentina, Colombia , Costa Rica, and Uruguay, and he also was a TedX Speaker.