Dr Linus Wunderlich

Linus Wunderlich

Lecturer in Financial Mathematics

School of Mathematical Sciences
Queen Mary University of London
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Research

Mathematical foundation of AI, Deep Neural Networks, Option Pricing, Counterparty Credit Risk, Chebyshev Interpolation, Deep parametric PDE method

Interests

Linus' research combines machine learning with numerical techniques in mathematical finance. His work includes solving high-dimensional PDEs with neural networks and accelerated risk computations using Chebyshev interpolations. His research interest extends to the mathematical understanding of artificial intelligence and their wider applications.