Hej hej! Welcome to my website.
I am a postdoc in the group of Kathlén Kohn at KTH Royal Institute of Technology in Stockholm. My research addresses algebraic analysis and applied algebraic geometry and is partially supported by the WASP-funded NEST 3D Scene Perception, Embeddings and Neural Rendering. I enjoy maths, music, sport, and art – in particular the combination of them. I was selected as a member of the Young Academy of the EMS.
Before, I was a postdoc in the nonlinear algebra group of Bernd Sturmfels at the Max Planck Institute for Mathematics in the Sciences in Leipzig. I obtained my PhD in 2019 under the supervision of Marco Hien and Maxim Smirnov at the University of Augsburg. You can find more information about me in my CV.
Besides maths, I appreciate excellent espresso, playing the ukulele and singing, acroyoga, abstract painting, and discovering the beautiful surroundings of Stockholm.
News
- Together with Hofie Hannesdóttir and Johannes Henn, we’re organizing the UNIVERSE+ workshop on Holonomic Techniques for Feynman Integrals at the Max Planck Institute for Physics in Garching, October 14-18, 2024. Registration is open now!
- Every invariant linear function can be represented by a linear autoencoder. Its decoder has a weight sharing property. To find out why, have a look at our preprint on the Geometry of Linear Neural Networks with Kathlén Kohn and Vahid Shahverdi!
- In the fall term 2023, I gave a PhD course on D-Modules and Holonomic Functions at KTH and Stockholm University.
- I gave a lecture series on Algebraic and Holonomic Statistics at the Hypergeometric School 2023 in Kobe. Also take a peek at some exercises accompanying the lecture.
- Learn about D-Module Techniques for Solving Differential Equations in the Context of Feynman Integrals in our preprint with Johannes Henn, Lizzie Pratt, and Simone Zoia!
- How do D-modules and nonlinear algebra help in the study of Feynman integrals? Check out our preprint on Vector Spaces of Generalized Euler Integrals with Daniele Agostini, Claudia Fevola, and Simon Telen! You can also try the code provided in our Jupyter notebooks. Comments welcome!
Last update: April 26, 2024