Published multiple papers in top-tier venues including NeurIPS, ICML, AISTATS, ICLR, JMLR, and SIAM Journal on Mathematics of Data Science
Research focuses on kernel methods, instrumental variable regression, meta-learning, regularized least squares, conditional mean embeddings, and Sliced Wasserstein kernels
NeurIPS 2022 Oral presentation; NeurIPS 2025 Spotlight paper
Teaching assistant for advanced machine learning courses at UCL, including 'Advanced Topics in Machine Learning' and 'Kernel Methods'
Organized the Machine Learning Journal Club at Gatsby CNU, UCL (2022–2023)
Participated in the PIMS online graduate course on Optimal Transport + Gradient Flows (Fall 2023)