Personenprofil
Kurzprofil
Doktorand - Early Stage Researcher in Meteorologie und Machine Learning an der Universität Leipzig im Rahmen des iMIRACLI-Programms, EU-gefördertes Marie Skłodowska-Curie Innovative Training Network (ITN).
https://imiracli.web.ox.ac.uk
Berufliche Laufbahn
- seit 09/2020
Promotionstelle - Leipziger Institut für MeteorologieIdentification of cloud regimes relevant for aerosol-cloud interactions.iMIRACLI EU funded Marie Skłodowska-Curie Innovative Training Network (ITN) https://imiracli.web.ox.ac.uk/#/Beraten von Prof. Dr. Johannes Quaas (Universität Leipzig)Mitberaten von Prof. Dr. Dino Sejdinovic (University of Oxford) - 04/2020 - 09/2020
Data Scientist at nam.R, Paris FRANCEPrediction of rooftops solar potential through aerial images and structured data.Article presented at NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning. https://arxiv.org/abs/2106.15268 - 03/2019 - 08/2019
Research Assistant at School of Mathematics & Statistics - University of Sydney, Sydney AUSTRALIABayesian Optimization for force fields in Quantum chemistry - Next generation materials discovery Sydney Nano grant. - 09/2018 - 02/2019
Data Scientist at Institut Louis Bachelier, Paris FRANCE - 05/2018 - 07/2018
Research Assistant at Department of Statistics and Actuarial Science - University of Waterloo, Waterloo CANADADevelopment and implementation of a new probabilistic model to estimate wild animals populations.
Ausbildung
- 09/2019 - 09/2020
Master Data Science - Institut Polytechnique de Paris, France - 09/2017 - 09/2020
MSc. Optimization and Data Science - ENSTA Paris, France
- Details anseheninnovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts (iMIRACLI)Quaas, JohannesLaufzeit: 01.2020 – 06.2024Mittelgeber: EU Europäische UnionBeteiligte Organisationseinheiten der UL: Theoretische Meteorologie