Promotion, 2020 - 2025ko-optiert von der Soil Science & Geomorphology Gruppe
persönliche WebsiteResearch Topics: interpretable spatial prediction, soil science, deep learning
Promotion, 2020 - 2025
ko-optiert von der Integrative Transkriptomik Gruppe
Research Topics: bioinformatics, uncertainty visualization in dimensionality reduction methods
Paper
Thesis
persönliche Website
Research Topics: distribution-based stochastic optimization, second-order methods, deep learning
Thesispersönliche Website
Research Topics: Probabilistic Numerics, Differential Equations, Bayesian Filtering and Smoothing
Promotion, 2022 - 2025Thesis
Apollo Research
Research Topics: Bayesian Modeling, Bayesian Deep Learning, Alignment
Promotion, 2016 - 2024
PD - Berater der öffentlichen Hand
Promotion, 2019 - 2024
PostDoc @ University of Copenhagen
Research topics: Probabilistic numerics, differential equations
Promotion, 2019 - 2023
Currently working @ DeepL
PostDoc @ Columbia University
Research Topics: probabilistic-numerics, numerical-linear-algebra, gaussian-processes
Promotion, 2018 - 2023
PostDoc @ Vector Institute Toronto
Research Topic: Extended automatic differentiation & second-order optimization for deep learning
Research Topic: Bayesian Deep Learning
Winner of the Theoretical Foundations of Deep Learning Best Thesis Award 2023
Promotion, 2017 - 2022
PostDoc @ Methods of Machine Learning
Bosch Center for Artificial Intelligence
CoLab
Promotion, 2016 - 2022
AWS AI in Berlin
Promotion, 2015 - 2020
Yahoo! Research
Paper persönliche Website
University of Kopenhagen
Promotion, 2014 — 2018
Promotion, 2013 — 2018
Promotion, 2013 — 2017 (ETH Zürich)
