CV

Work experience

Ph.D. in Statistics, Sorbonne Université, 2019-2022
- Supervisors: Antoine Godichon-Baggioni and Olivier Wintenberger
M.S. in Mathematics-Economics, University of Copenhagen, 2014-2016
B.S. in Mathematics-Economics, University of Copenhagen, 2011-2014

Research Grant, Région Île-de-France, France (100.000 euro, Grant No. 19006497)
- Topic: Convergence properties of online mini-batch stochastic algorithms for non-convex optimization

Guest Lecturer, Reinforcement Learning, University of Southern Denmark, 2024-
Teaching Assistent, Introduction to Numerical Analysis, University of Copenhagen, 2015-2016
Teaching Assistent, Probability Theory and Statistics, University of Copenhagen, 2015-2016

Kasper Veje Jakobsen, Financial analysis with deep reinforcement learning, 2025
Bi Yun Chen, Model selection as a multi-armed bandit problem in continual learning, 2023

Poster at 17th European Workshop on Reinforcement Learning, 2024
Talk at D3A 2.0, Danish Digitalization, Data Science and AI, 2024 (invited talk)
Talk at ATP about ML/AI in finance, 2024 (invited talk)
Talk at DSS, Data Science and Statistics group seminar, 2022
Talk at JDS’22, 53èmes Journées de Statistique de la Société Française de Statistique (SFdS), 2022
Poster at VieCo, Vienna–Copenhagen Conference on Financial Econometrics, 2022
Talk at DeLTA Lab, Denmark Learning Theory and Applications, 2021
Talk at VALPRED, 3 Workshop on “Prediction and Validation”, 2021
Talk at CIRM, Conference on “New Results on Time Series and their Statistical Applications”, 2020

“Sometimes I’ll start a sentence and I don’t even know where it’s going. I just hope I find it along the way.” Michael Scott, The Office (US).