Maximilian Baust
Who I am
Hi, my name is Max and I enjoy combining algorithms and computing to bring mathematical concepts to life and create novel and innovative applications. Being a passionate facilitator as well, I like to connect industry and academia to make technological innovations usable and advance all individuals sharing the same passion.
In particular, I am interested in applications of machine learning, differential geometry, and numerical techniques to problems in machine vision and image understanding. Good examples include the selected publications listed below. In case you are interested in my full list of publications, please have a look at my google scholar profile.
Curriculum Vitae
12/2023 - now: Director Solution Architecture Industries EMEA at NVIDIA
07/2021 - 11/2023 Senior Manager AI Developer Technology EMEA at NVIDIA
09/2020 - 06/2021: Head of Algorithm Development at OneProjects
06/2019 - 09/2020: Senior Manager Solution Architecture Healthcare EMEA at NVIDIA
02/2019 - 05/2020: Manager Solution Architecture Healthcare EMEA at NVIDIA
06/2017 - 01/2019: Senior R&D Engineer & Research Specialist at Konica Minolta Laboratory Europe
10/2013 - 06/2017: Postdoctoral Researcher at the Department for Computer Aided Medical Procedures & Augmented Reality (CAMPAR) at Technical University of Munich
02/2012 - 09/2013: Systems Engineer at Elektroniksystem- und Logistik-GmbH
04/2008 - 10/2011: Doctoral Student at the Department for Computer Aided Medical Procedures & Augmented Reality (CAMPAR) at Technical University of Munich
10/2003 - 03/2008: Studies in Mathematics at Technical University of Munich and ETH Zurich
Selected Publications
- Bonev, B., Kurth, T., Hundt, C., Pathak, J., Baust, M., Kashinath, K., & Anandkumar, A. (2023). Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. arXiv preprint arXiv:2306.03838.
- Rieke, N., Hancox, J., Li, W., Milletari, F., Roth, H. R., Albarqouni, S., Bakas, S., Galtier, M., Landman, B., Maier-Hein, K., Ourselin, S., Sheller, M., Summers, R., Trask, A., Xu, D., Baust, M., & Cardoso, M. J. (2020). The future of digital health with federated learning. NPJ digital medicine, 3(1), 119.
- Slavcheva, M., Baust, M., & Ilic, S. (2020). Variational level set evolution for non-rigid 3D reconstruction from a single depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8), 2838-2850.
- Baust, M., & Weinmann, A. (2020). Manifold-Valued Data in Medical Imaging Applications. Handbook of Variational Methods for Nonlinear Geometric Data, 613-647.