Awarded the EECS Graduate Fellowship Fund from the School of Electrical Engineering and Computer Science at Washington State University for the Spring 2025 semester; paper “Revisiting Kernel Attention with Correlated Gaussian Process Representation” accepted to UAI 2024; paper “A Probabilistic Framework for Pruning Transformers Via a Finite Admixture of Keys” accepted to ICASSP 2023.
Research Experience
AI research resident at FPT Software in Hanoi, Vietnam during undergrad.
Education
First-year PhD Student in Computer Science at Washington State University under the supervision of Professor Nghia Hoang; graduated from Hanoi University of Science and Technology with a bachelor in Applied Mathematics and Informatics.
Background
Interested in probabilistic machine learning and model alignment with applications in scientific domains. Currently, conducting research on foundation model adaptation, focusing on continual learning and model merging.