Cori wanted to understand the fundamental concepts that make up the sophisticated theories of Computer Science. She started IMACS during the summer before tenth grade and went on to complete IMACS’ University Computer Science track and AP Computer Science: Java Programming course. Cori scored a 5 on the AP Computer Science A exam, 800 on the math portion of the SAT, and was named a National Merit Scholarship Finalist.
Cori’s keen interest in using her knowledge to understand real-world problems inspired her to write a Naive Bayes machine learning algorithm to detect political bias in online news articles. Her paper on it was selected for presentation at the Georgetown Junior Science and Humanities Symposium, and she was honored as an affiliate winner for the National Center for Women and Information Technology’s Aspirations Award.
Cori chose Brown University where she was accepted early decision and plans to study Computer Science and Economics. She hopes to pursue a career applying data science within education or a service-based field.
“IMACS turned the slightly enigmatic, ever-changing field of Computer Science into a never-ending set of fun puzzles for me to solve. It brought to my attention the intricacy and beauty of the field while illustrating how I could become a part of it.”