Paper 'Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression' accepted by Transactions of Machine Learning Research (2024).
Paper 'Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood' accepted by SIAM/ASA Journal on Uncertainty Quantification (2024).
Awarded the Chris Daykin Prize by the International Actuarial Association for the paper 'Intergenerational risk sharing in a defined contribution pension system: analysis with Bayesian optimization' (with An Chen and Fangyuan Zhang).
Paper 'Counterfactual Mean Embeddings' published in JMLR (2021).
Multiple preprints on arXiv covering topics such as importance weighting correction, Gaussian process scale estimation, variable selection in MMD, and improved random features for dot product kernels.
Organizing the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in September 2025.
Organized the Workshop on Functional Inference and Machine Intelligence at EURECOM in February 2020.