By giving computers the ability to sense and understand everyday human activities, Dr. Scott Davidoff teaches machines to help people accomplish their everyday tasks. He uses Machine Learning to create new intelligent mobile and social applications — like todo lists and calendars — and studies how they affect people and societies. Dr. Davidoff has also developed domestic robots for Microsoft Research, and as Principal of Scott Davidoff Design, brought new concepts to life for companies like AOL, SBC Ameritech and TV Guide.

His work has been featured in media worldwide, including Engadget, CNET, Adaptive Path and Dorkbot. He also wrote the introduction to Graphis Interactive No. 2. His research is funded by grants from the National Science Foundation and Google Research.

Dr. Davidoff has a Ph.D. in Human-Computer Interaction, an MS in Computer Science (Research), and an M.HCI in Human-Computer Interaction (Practice), all from Carnegie Mellon.