
First-year Computer Science student at Purdue University with a strong foundation in mathematics and experience gained through academic competitions, internships, and coursework in computer science and artificial intelligence. Proficient in Java fundamentals, including object-oriented programming, arrays, iteration, and sorting algorithms, with working knowledge of Python. Passionate about artificial intelligence, machine learning, and software development, and eager to continue building technical skills through academic and hands-on projects.
Key research areas included:
• Outdoor School Research Project :
Examining how learning occurs in alternative architectural and natural environments, and how outdoor or hybrid learning models influence creativity, engagement, and student development.
• Play-and-Learn Tournament Model Research :
Studying how academic tournament environments such as the Math Premier League (MPL) encourage active participation, collaborative problem solving, and long-term academic motivation among students.
The research involved exposure to interdisciplinary methodologies including: