Daniel McDuff is building and deploying scalable sensing and machine learning tools to enable the automated recognition and analysis of emotions and physiology. Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and was Director of Research at Affectiva and a post-doctoral research affiliate at the MIT Media Lab.  During his Ph.D. and at Affectiva he built state-of-the-art facial expression recognition software and lead analysis of the world’s largest database of facial expression videos. His work has received nominations and awards from Popular Science magazine. His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow and two of his papers were recently recognized within the list of the most influential articles to appear in the Transactions on Affective Computing.