Luca Galimberti

Dr. Luca Galimberti is a Lecturer in Quantitative Finance at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD in Mathematics from ETH Zurich and previously served as a Postdoctoral Researcher at the Norwegian University of Science and Technology and the University of Oslo. His research focuses on fusing theoretical deep learning with infinite-dimensional financial models, particularly addressing problems in mathematical finance through operator learning and stochastic analysis.

Research interests include partial differential equations (PDEs), stochastic PDEs, and their applications to financial mathematics. He explores geometric PDEs, functional analysis, and the mathematical foundations of AI in finance. Current projects involve limit order book modeling via operator learning, long-term behavior of generative models, and graph neural networks for socio-economic phenomena like fake news mitigation.

Galimimberti's work bridges pure mathematics (functional analysis, Riemannian geometry) with applied domains such as econometrics and computer science. He actively seeks collaborations with industry partners in AI and finance. No scientific awards are explicitly listed.

His academic career includes postdoctoral training at top institutions and a strong focus on interdisciplinary research. No formal advisees or grants are mentioned in the provided texts.