About
Daniel Weggenmann joined the Chair of Data Science at the University of Würzburg in 2026 as a research associate. He received his Master’s degree in Mathematics from the University of Würzburg.
Daniel Weggenmann’s research focuses on local climate models and ecosystem parameters. He works in the SMART-TWIN project, which applies machine learning to climate and ecosystem modelling, with the aim of substantially reducing the computation time of the urban climate model PALM-4U.
He also teaches in the M.Sc. programme in Ecological Forecasting, contributing to the courses A Primer in Scientific Programming and Deep Learning.
Courses
- A primer in Scientific Programming
- Deep Learning
Personal website
https://www.informatik.uni-wuerzburg.de/datascience/staff/weggenmann