I am a Senior Principal Research Manager with Microsoft Research Montreal where I lead our Applied Research Team. Our team is focused on applied research in machine learning and natural language processing with an emphasis on projects directed at improving Microsoft products and their user experiences. I originally joined Microsoft in 2013 and spent 4+ years developing natural language processing and computer vision technology for Bing, Cortana, and the Cloud AI platform. Prior to joining Microsoft, I worked at the Massachusetts Institute of Technology where I spent six years as a member of the Human Language Technology Group at MIT Lincoln Laboratory and nine years as a Research Scientist in the Spoken Language Systems Group at the MIT Computer Science and Artificial Intelligence Laboratory. I hold S.B., S.M., and Ph.D. degrees in Electrical Engineering and Computer Science from MIT.
Dr. Hazen talks about why reading comprehension is so hard for machines, gives us an inside look at the technical approaches applied researchers and their engineering colleagues are using to tackle the problem, and shares the story of how an a-ha moment with a Rubik’s Cube inspired a career in computer science and a quest to teach computers to answer complex, text-based questions in the real world.