Chris Gumb

Chris Gumb is a preceptor for the Institute for Applied Computational Science where he collaborates with IACS faculty and staff on teaching, developing, and supporting its courses in computational science and engineering and data science, helping to coordinate consistency and coherence across these curricula by creating unified structures for course content. Chris will be completing his Master’s in Data Science through Harvard Extension School in 2022. Prior to his role as preceptor, Chris spent several years as head teaching fellow for the CS109 course series for basic and advanced data science which serve as core courses for DS Master’s students at IACS.