Publications: 'When FLUE Meets FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain' accepted at EMNLP 2022; 'Modeling Motivational Interviewing Strategies On Online Peer-to-Peer Counseling Platforms' accepted at CSCW 2022. Awards: 2023 Georgia Tech President’s Fellowship Award; 2023 Marshall D. Williamson Fellowship Award; 2022 Donald V. Jackson Fellowship Award.
Research Experience
During his Master's program, worked on various projects using language processing to improve online mental health platforms.
Education
Ph.D. in Interactive Computing, Georgia Tech (Starting September 2024, will be at Stanford as a visiting student under Prof Diyi Yang). M.S. in Computer Science, Georgia Tech (Graduated May 2023).
Background
Research Interests: Building human-AI collaborative natural language processing models for social good. Specialties: C++, Python, JAVA, Hadoop, Natural Language Processing, Machine Learning algorithms, and Data Structures. Summary: Aiming to pursue a Ph.D. program focused on understanding the human behavioral alignment of language models and their impact on social decision-making.