In his role at C21U, Adrian brings his analytics and machine learning knowledge to support the team. His work on natural language processing using transformer models, weak supervision, and model distillation has contributed to furthering our research into modeling student learning. 

Adrian is pursuing a master’s degree in computational analytics at Georgia Tech and is also an instructor for the College of Lifetime Learning Professional Education unit Python flex stack course. Outside of analytics, he spends much of his free time learning and developing new skills and interests. Among these, Adrian is a guitarist with over a decade of experience!