Resume
Academic Achievements
- 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.