Annette Rudolph

Jun.-Prof. Dr. Annette Rudolph is an Assistant Professor leading the AI and (Climate-Induced) Land Use Change research group at TU Berlin's Institute of Landscape Architecture and Environmental Planning. She holds a Diplom in Mathematics (TU Berlin, 2011) and a PhD in Meteorology (FU Berlin, 2018), with a habilitation thesis on geophysical fluid dynamics and data-driven methods (2023). Her research integrates AI, climate science, and geophysical fluid dynamics.

• Academic Roles: Head of FG KI und Landnutzungswandel (since 2023), Postdoc in SFB 1114 (2014–2022)

Research interests focus on AI applications in environmental sciences, clouds-climate interactions, and fluid dynamics. Her work bridges theoretical meteorology with data science, including machine learning for precipitation modeling and climate analysis.

Publications emphasize AI-driven climate modeling, geostatistical methods, and atmospheric dynamics. Notable contributions include a 2024 paper on deep learning for precipitation nowcasting and a 2023 study on CAPE-precipitation relationships using machine learning.

She developed e-learning resources on geodata analysis using Python and R, and led DAAD-funded research in Oslo (2022). Current projects involve AI-driven land-use change analysis and climate impact modeling.