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PhD candidate

Ludwigs-Maximilians-Universität, Munich

PhD candidate in the group mathematical foundations of artificial intelligence.

• Physical law learning
• Uncertainty quantification

Research assistant

Institute of Statistics, Karlsruhe Institute of Technology

• Uncertainty quantification
• Probabilistic weather forecasting

Data Science Intern

anacision GmbH

• Forecasting
• Big data integration

Master of Science

Economathematics

Karlsruhe Institute of Technology

Supplementary studies

Sustainable Development

Karlsruhe Institute of Technology

Exchange semester

Big Data and Machine Learning

ITMO University

Bachelor of Science.

Industrial Engineering

Karlsruhe Institute of Technology

Uncertainty Quantification for Data-Driven Weather Models

Christopher Bülte, Nina Horat, Julian Quinting, Sebastian Lerch

arXiv preprint

Estimation of Spatio-Temporal Extremes via Generative Neural Networks

Christopher Bülte, Lisa Leimenstoll, Melanie Schienle

arXiv preprint

Multivariate Time Series Imputation for Energy Data Using Neural Networks

Christopher Bülte, Max Kleinebrahm, Hasan Ümitcan Yilmaz, Juan Gómez-Romero

Energy and AI

Applying transformer to imputation of multivariate energy time series data

Hasan Ümitcan Yilmaz, Max Kleinebrahm, Christopher Bülte, Juan Gómez-Romero

ICML 2021 Workshop on Tackling Climate Change with Machine Learning

Associated PhD student

Konrad Zuse School of Excellence in Reliable AI (relAI)

Best poster award

MathSEE Symposium, Karlsruhe Institute of Technology, Germany

Scholarship Deutschlandstipendium

Karlsruhe Institute of Technology, Germany

Volunteer

EduRef - Education for Regfugees e.V.