During my last interview I had a great talk with Daniel McDuff. Daniel’s research is at the intersection of psychology and computer science. He is interested in designing hardware and algorithms for sensing human behavior at scale, and in building technologies that make life better. Applications of behavior sensing that he is most excited about are in: understanding mental health, improving online learning and designing new connected devices (IoT).
Listen to more about why it is important to collect data from much larger scales and help computers read our emotional state.
Key Learning Points:
1. Understanding the impact, intersection, and meaning of Psychology and Computer Science
2. Facial Expression Recognition
3. How to define Artificial Intelligence, Deep Learning, and Machine Learning
4. Applications of behavior sensing with Online Learning, Health, and Connected Devices
5. Visual Wearable sensors and heart health
6. The impact of education and learning
7. How to build computers to measure phycology, our reactions, emotions, etc
8. The impact of working in a no-fear zone for top accomplishment.
Daniel is building and utilizing scalable computer vision and machine learning tools to enable the automated recognition and analysis of emotions and physiology. He is currently Director of Research at Affectiva, a post-doctoral research affiliate at the MIT Media Lab and a visiting scientist at Brigham and Womens Hospital. At Affectiva Daniel is building state-of-the-art facial expression recognition software and leading analysis of the world’s largest database of human emotion responses.
Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. 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, the Center for Integrated Medicine and Innovative Technology (CIMIT) and several IEEE conferences. His work has been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist and Forbes magazine. Daniel has been named a 2015 WIRED Innovation Fellow. He has received best paper awards at IEEE Face and Gesture and Body Sensor Networks. Two of his papers were recently recognized within the list of the most influential articles to appear in the Transactions on Affective Computing.
This episode is sponsored by the CIO Scoreboard, a powerful tool that helps you communicate the status of your IT Security program visually in just a few minutes.
* Outro music provided by Ben’s Sound
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