Zhuoyue completed her Bachelor’s degree in Mathematics at Imperial College London, where her thesis on signature inversion sparked her passion for the intersection of mathematics and machine learning. Afterward, she pursued the Part III at the University of Cambridge. Her research interests are centered around statistical machine learning, with a focus on Bayesian nonparametrics, causal inference, and probabilistic modeling. She is intrigued by the Bayesian approach for its systematic handling of uncertainty via the posterior, enabling reliable statistical conclusions. Zhuoyue looks forward to her upcoming research, beginning with a mini-project on Bayesian inference for heterogeneous treatment effects under Prof. Rousseau and Dr. Ray. Outside academia, she enjoys playing board games, with The Castles of Burgundy being her favorite.
Zhuoyue Huang
