International Conference on Learning Representations · 2024
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Resume (English only)
Academic Achievements
Principal investigator of multiple research grants:
— 'Quantum machine learning for financial data streams' (2023–2024, funded by Innovate UK)
— 'Quantum machine learning in finance' (2024, funded by Citibank)
— 'Robustness and uncertainty in deep hedging' (2023–2027, funded by J.P. Morgan)
— 'Deep learning for non-local partial differential equations' (2021–2024, funded by DFG)
Published in top-tier venues including NeurIPS, ICML, ICLR, Mathematical Finance, SIAM Journal on Financial Mathematics, Neural Networks, and IEEE Transactions
Multiple preprints on arXiv and SSRN with collaborators such as F. Biagini, T. Meyer-Brandis, A. Jacquier, and J.-P. Ortega
Background
Assistant Professor at University of St. Gallen, affiliated with the School of Computer Science and the Center for Financial Services Innovation
Honorary Senior Lecturer at Imperial College London
Research focuses on foundations and applications of artificial intelligence, especially in finance
Works on various machine learning methods (deep learning, quantum neural networks, reservoir computing, random features, kernel methods, etc.) in both classical and quantum computing paradigms
Applications include time series, stochastic processes, partial differential equations, pricing, hedging, etc.