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Mike Schaekermann

University of Waterloo Computer Science Ph.D. candidate with a degree in Medicine

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My research at the University of Waterloo, where I am supervised by Dr. Edith Law and Dr. Kate Larson, is located at the intersection of machine learning and human-computer interaction. In particular, I look at how we can combine the power of human and machine intelligence to solve problems too hard to be tackled by computational methods alone (i.e., crowdsourcing). My work in this topic revolves around the analysis of medical time series data. In the past, I have applied methods of data visualization and collaborative analysis of biosignals to the field of games user research in collaboration with Dr. Lennart Nacke. All in all, I operate in the hybrid and emerging space of Human-Centered Machine Learning. Just recently, I gave a talk at a workshop on that topic at CHI 2016 in San Jose, CA.