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Christoffer Back is a researcher focused on the theoretical aspects of machine learning, probabilistic inference, stochastic processes, and computability learning theory. He is affiliated with the iAware project at the University of Copenhagen, collaborating with organizations such as PowerNet and Bispebjerg Hospital. His work investigates the use of location data to develop predictive workflow models. Previously, he was associated with the Digital Research Centre Denmark, where he analyzed techniques for interpreting large datasets generated from enterprise resource planning systems. Apart from his research, he serves as a guest lecturer and assistant teacher in computer science and data science, where he has also hosted numerous international exchange students. In addition to his academic pursuits, Back is a professionally trained glass artist, currently working on projects that integrate digital glass fabrication technologies.
ServiceNow Denmark ApS • Copenhagen, Denmark
Working on advanced machine learning projects to develop innovative data-driven solutions.
Gekkobrain • Copenhagen, Denmark
Analyzing big data to extract insights from complex datasets.
Olling & Co. •
Established a company focusing on innovative applications of electronics.
Back Electronics A/S •
Worked on electronics projects involving various technological applications.
Focuses on clinical, social, and cognitive psychology.