Michael Carl Tschantz received a Ph.D. from Carnegie Mellon University in 2012 and a Sc.B. from Brown University in 2005, both in Computer Science. Before becoming a researcher at the International Computer Science Institute in 2014, he did two years of postdoctoral research at the University of California, Berkeley. He uses the models of artificial intelligence and statistics to solve the problems of privacy and security. His interests also include experimental design, formal methods, and logics. His current research includes automating information flow experiments, circumventing censorship, and securing machine learning. His dissertation formalized and operationalized what it means to use information for a purpose.
I'm looking for summer interns with interests in censorship and circumvention, data brokers, and algorithmic accountability and fairness. For more information, please see this website.
EventsI'm on the PC for
- The ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019).