From curiosity to contribution
At the core of Tobias’s PhD is the ambition to develop methods that are both mathematically sound and practically useful.
“One concept I’d like to explore in more depth is building hybrid systems that combine the rigorous guarantees of numerical methods with the power of neural networks. This would make the methods more explainable, without losing the flexibility that makes neural networks so effective.”
For Tobias, research impact sits at the intersection of theory and application.
“To me, impact means working on concepts that are mathematically well understood and explainable, but that also apply to real-world problems beyond academia.”
Looking ahead, Tobias hopes his work will provide lasting value to the wider research community.
“I’d consider it a success if my research contributes a reliable method to the community’s toolkit – something that other researchers and practitioners can confidently build on.”
Opening doors through NextGen
As a G-Research Scholar, Tobias is looking forward to being part of a broader research community and gaining insight into how theory is applied in practice.
“I’m particularly excited about connecting with other PhD students across the UK and learning about their work, as well as seeing how mathematics and machine learning are used in the rigorous, pragmatic way required in quantitative finance.”
