I am an engineer and (data) science enthusiast. I am interested in understanding how learning processes can uncover hidden mechanics of the universe, be that through data science, complex systems, or energy dynamics.
CV Last updated - 2020/03
Education
- M.Sc in Applied Mathematics, Denmark’s Technical University, 2021
- M.Eng in General Engineering, Ecole CentraleSupélec, 2021
- Exchange student, The University of Sydney, 2019
- Preparatory school, Lycée Ste Geneviève, 2015
Work Experience
- 2023 - : Tech Lead (Electricity Maps)
- Electricity Maps’ mission is to organise the world’s electricity data to drive the transition towards a truly decarbonised electricity system.
- Leading the development of Electricity Maps data platform. Focus areas:
- Automation of data quality processes
- Unifying our data offering from historical, to real-time, to forecasted electricity data.
- The ambition is to become the single source of truth for electricity data.
- Leading the expansion of the forecasting infrastructure. Running more than a 1000 models simultaneously.
- 2021 - 2022: Data Scientist (Electricity Maps)
- Responsible for ensuring that ElectricityMaps’ data is accurate, reliable, and timely.
- Owning the building of the modelling infrastructure to power our estimation and forecast systems. These models allow for large scale load-shifting from e.g Google.
- 2021 - 2021: Research Assistant (Denmark’s Technical University)
- Developing a novel method for robust uncertainty quantification using out-of-distribution pseudo-inputs training under the supervision of Søren Hauberg.
- 2020 - 2021 (part-time): Data Scientist (Tomorrow)