Paper 'DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction' accepted to ICML 2025
Paper 'Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning' received the IOP Publishing Top Cited Paper Award North America
Paper 'Solving high-dimensional partial differential equations using deep learning' received the Frontiers of Science Award in the field of scientific computing at the International Congress of Basic Science (ICBS)
Recipient of the SIAM Computational Science and Engineering (CSE) Early Career Prize (awarded biennially to one scholar)
Associate editor for the Scientific Machine Learning section of the SIAM Journal on Scientific Computing (SISC)
Background
Research interests include machine learning for science, particularly focusing on solving high-dimensional problems in scientific computing, such as PDEs and generative modeling.