In his dissertation, titled “Deep Learning in Continuous Time”, he researched using neural networks in differential equations for learning the dynamics of multivariate time series.
Expertise
geometry, geometric deep learning, graph learning, GNNs 2020 – Present
time series, deep learning, finance 2019 – Present
machine learning, deep learning, statistics, neural ODEs 2018 – Present