Short CV
- Since 09/
20: PhD Student, University of Mannheim - 08/
20: M.Sc. in Business Mathematics, University of Mannheim - 02/
18: B.Sc. in Business Mathematics, University of Mannheim - 08/
16–01/17: Erasmus stay at University of Oslo, Norway
Publications
- Pathwise uniqueness for singular stochastic Volterra equations with Hölder coefficients,
David J. Prömel and David Scheffels, arXiv:2212.08029, 2022. - On the existence of weak solutions to stochastic Volterra equations,
David J. Prömel and David Scheffels, arXiv:2207.01367, 2022. - Stochastic Volterra equations with Hölder diffusion coefficients,
David J. Prömel and David Scheffels, arXiv:2204.02648, 2022.
Teaching
- HWS 2022: Teaching Assistant for the course “Mathematical Finance”
- FSS 2022: Teaching Assistant for the course “Advanced Topics in Mathematical Finance”
- FSS 2019: Teaching Assistant for the course “Stochastic Simulation”
Theses
- “Existence and uniqueness results for stochastic Volterra differential equations” (2020),
Supervisor: Prof. Dr. David Prömel - “Application of Hidden Markov Models to Speech Recognizing” (2017),
Supervisor: Prof. Dr. Leif Döring