SM 1990
Senior Data Scientist, Microsoft
After graduating, Mario worked at Thinking Machines on AI and compilers for parallel computers. He was part of a team who created the ground-breaking Darwin data mining system at Thinking Machines, and then creating a data mining system for business at Cognizant. Afterward, he returned to school where he got a doctorate in mathematics (geometric topology), and spent multiple years doing research and teaching at various institutions. In 2010, Mario returned to industry as a data scientist, first at Cogito Health predicting behavior using voice and mobile phone data, at EMC automating the management of Symmetrix arrays, and now at Microsoft showing top companies how to create AI in the Azure cloud.
How did your experience at the Lab influence your next step?
Working with Seymour Papert, Edith Ackerman, and many others at the Lab taught me how to create novel and effective perspectives in each new area I enter. In doing so, I seek to bring out deeper insights in an actionable and demonstrable form by leveraging my knowledge fro multiple areas of sciences and engineering.
Do the difficult work: study many topics deeply, connect with others broadly, and give yourself the time to reach out for the insight.