I am a final-year undergraduate at The University of Hong Kong, majoring in Computer Science and minoring in Statistics. My research interests center around trustworthy machine learning, with a focus on algorithmic fairness and robustness. I am particularly curious about their theoretical foundations, from which I aim to develop practical solutions towards AI systems reliable for social deployment.

I am currently working on theories and applications related to multi-objective learning with Prof. Han Zhao at the University of Illinois Urbana-Champaign. Previously, I also explored computational biology, in particular, bulk RNA deconvolution and single-cell multi-omics integration, with Prof. Yu Li at The Chinese University of Hong Kong.