Abhay is an ML researcher who turned towards design after realizing that most ML products into the foreseeable future would not be well designed, given the difficulty of collaboration between disciplines. Prior to joining Stanford he worked on AI technologies as a Research Fellow at Microsoft Research. He holds two patents in computer-vision-based blind assistance, and has published his work to conferences such as CHI.
Michelle is a UX Designer and Researcher at Amazon with a computational neuroscience and data science background from UC Berkeley. Her work deals with combining quantitative and qualitative methods to create products that can empower people understand and engage with models and their data, and use data to enhance design decisions. She now runs the Machine Learning User Experience meetup in SF (MLUX) with over 1,200 members, focusing on tech talks from industry of how these two disciplines come together.
Anand Rajaraman is an entrepreneur and venture capitalist who received a PhD from Stanford in Computer Science in the 90s and has since launched several successful companies including Kosmix, which sold to Walmart for over $300 million. He was also the co-inventor of Amazon Mechanical Turk. He has over a decade of teaching experience at Stanford since he first launched the “Mining Massive Datasets” course in the CS department.