Daniel McDuff


Title of Talk

“Camera-based Physiological Sensing and Visualization with Applications in Health and Wellbeing”

Speaker Bio

Daniel McDuff is a Principal Researcher at Microsoft where he leads research and development of affective technology.  Daniel completed his PhD at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. Daniel’s work on non-contact physiological measurement helped to popularize a new field of low-cost health monitoring using webcams. Previously, Daniel worked at the UK MoD, was Director of Research at MIT Media Lab spin-out Affectiva and a post-doctoral research affiliate at MIT.  His work has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR and the Center for Integrated Medicine and Innovative Technology (CIMIT). His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow, an ACM Future of Computing Academy member and has spoken at TEDx and SXSW.  Daniel has published over 100 peer-reviewed papers on machine learning (NeurIPS, ICLR, ICCV, ECCV, ACM TOG), human-computer interaction (CHI, CSCW, IUI) and biomedical engineering (TBME, EMBC).