Christopher Dock

Christopher Dock is currently serving as the Norbert Wiener Assistant Professor at Tufts University, focusing on harmonic analysis, mathematical data analysis, and machine learning since May 2022. Prior experience includes a role as a PhD Student and Graduate Student Instructor at the University of Maryland College Park from August 2017 to May 2022, complemented by a statistics and machine learning internship at Tesla in 2019, where Christopher developed predictive models for parts consumption in service centers worldwide. Notably, Christopher also served as Head Developer at J. Doe, PBC, developing encryption software for an anonymous sexual assault reporting system, and contributed to research at the University of California, Berkeley, emphasizing statistical mechanics in understanding disease. Academic qualifications consist of a PhD in Applied Mathematics from the University of Maryland and a BA in Physics and Math from the University of California, Berkeley.