Currently developing methods and technologies to automatically assess students' self-explanations and responses during source code comprehension to optimize learning outcomes for programming education. Recently worked on exploring the capabilities of LLMs in educational contexts, specifically focusing on programming comprehension tutoring.
Education
Ph.D. Candidate in Computer Science at The University of Memphis, advised by Dr. Vasile Rus, with support from the Language and Information Processing (LIPS) lab.
Background
Research interests lie at the intersection of large language models (LLMs), natural language processing (NLP), and intelligent tutoring systems; focusing on automated assessment and dialogue-based educational technologies for programming education.
Miscellany
Enjoys outdoor activities like Soccer, Cricket, Hiking, Fishing, Camping, and playing Guitar during free time.