معرفی
Prof. Arnulf Jentzen is a Professor at the University of Münster (Germany) and the Chinese University of Hong Kong, Shenzhen (China). He holds positions in the Faculty of Mathematics and Computer Science (Münster) and the School of Data Science & Shenzhen Research Institute of Big Data (CUHK-Shenzhen). His expertise spans numerical analysis, machine learning, and stochastic processes.
Education: PhD in Mathematics (summa cum laude) from Goethe University Frankfurt (2007–2009), Diploma in Mathematics (2004–2007). Former roles include Assistant Professor at ETH Zurich (2012–2019) and Postdoc fellowships at Princeton University (2011–2012) and Bielefeld University (2009–2010).
Research focuses on deep learning (optimization landscapes, convergence of SGD), high-dimensional PDEs (overcoming the curse of dimensionality), and stochastic differential equations (numerical approximations). His work bridges computational finance, dynamical systems, and gradient flows.
Recent achievements include the ICBS Frontier of Science Award (2024), ERC Consolidator Grant (2022), and the Felix Klein Prize (2020). He leads a research group with over 20 current and former members, including PhD students and postdocs.
Publications emphasize Adam optimizer convergence, gradient flow analysis, and deep learning for PDEs. He serves on editorial boards for journals like Communications in Computational Physics and SIAM Journal on Numerical Analysis.
