Best Full Research Paper Award at LAK2025; Provost's Grant for Conference Presentation and Professional Development (2025); Doctoral Research Fellowship (2023–2027).
Research Experience
Member of the AEQUITAS Lab; Program Committee Member, Reviewer, and Student Volunteer for various academic conferences.
Education
Ph.D. student in Measurement, Evaluation, and Statistics at Teachers College, Columbia University, advised by Dr. Renzhe Yu; B.A. in Applied Mathematics with Minors in Data Science and Education from UC Berkeley.
Background
Research Interests: Intersection of Responsible AI and Educational Data Science, exploring how AI methods can be responsibly developed and applied in educational contexts. Research topics include Trustworthy Transfer Learning and Measurement and Evaluation for Large Language Models.
Miscellany
Teaching Assistant for courses such as Probability and Statistical Inference, Learning Analytics Practicum, Feature Engineering Studio, and Applied Regression Analysis.