Connie studied Cognitive Science in undergrad at the University of California, San Diego — neurobiology, human/animal cognition, and other fun things. She discovered the joys of programming during the summer of her third year, through a data modeling & analysis class using MATLAB to implement different data modeling and machine learning algorithms. However, at this point Connie was set to graduate in just 3 months, so she decided to pursue the interest on her own rather than switch majors. After graduating, Connie tried out various online resources (e.g. Harvard’s CS50, Udacity, etc.) and planned a move to Chicago. She realized attending a school with a structured curriculum would be much more efficient for learning programming, and she ended up in Fullstack’s first Chicago cohort. Her rapid learning skills and desire to help her classmates lead her to stay on as a teaching fellow and then full-time instructor.