Jan 2024 – PresentCopenhagen
Freelance Consultant
Pepin Consulting
- Designed and developed a risk management tool for a client in the energy sector to hedge price and demand risk.
- Delivered a production-quality software package with user documentation and integration into the client’s workflow.
Nov 2025 – Aug 2026Copenhagen
Lead Quantitative Developer
Ørsted
- Developed pricing models for power market derivatives, storages and interconnectors.
- Evaluated model risk, designed and implemented model dashboards.
Jan 2024 – Sep 2025Copenhagen
Postdoctoral Researcher in Machine Learning
University of Copenhagen, Department of Computer Science
- Conducted research within learning theory and algorithmic fairness.
- Supervised projects on in-context learning, chain-of-thought reasoning, stochastic forecasting and quantization.
Mar 2023 – Dec 2023Copenhagen
Postdoctoral Researcher in Energy Markets
Technical University of Denmark, Department of Power and Energy Systems
- Conducted research on risk-aware trading strategies for balancing markets; implemented and evaluated the strategies for the Danish day-ahead, intraday and settlement markets.
- Conducted an analysis on the future evolution of ancillary service markets and presented it to C-level executives.
- Supervised a project on forecasting of solar power production.
Mar 2021 – Feb 2023Copenhagen
Senior AI Specialist
Alexandra Institute
- Led teams of machine learning specialists on client engagements, managed client relations, conducted workshops.
- Generated sales leads and established client relations, participated in public procurement processes.
- Coordinated internal research activities within sustainability, established academic and industrial partnerships.
Feb 2019 – Feb 2021Copenhagen
Lead Data Scientist
Wunderman Thompson MAP
- Designed and developed predictive models within the marketing domain for international corporate clients.
- Deployed models in production on all major cloud platforms (AWS, Azure, Google Cloud Platform).
- Conducted internal research projects on emerging machine learning technologies.
Jun 2018 – Jan 2019Copenhagen
Machine Learning Scientist
SupWiz
- Developed the backend for a real-time chat software, deployed in production at major Danish companies.
- Managed Azure cloud platform services, designed Kubernetes cluster architecture and deployed container services.
Feb 2013 – Feb 2014Luxembourg
Research Engineer
Luxembourg Centre for Systems Biomedicine
- Developed a GPU-accelerated C++ library for the deconvolution of microscopy images.
Oct 2012 – Jan 2013Sophia-Antipolis
Software Engineer
Thales Critical Information Systems
- Contributed to the development of an airline revenue management system in C++.