About Me
Hi, I'm Peer. I'm a researcher and doctoral candidate at the CAU-Kiel Institute, where I explore the link between energy demand and climate change using advanced methods like Bayesian multilevel models and big datasets.
I hold an MSc in Quantitative Economics and have a strong background in statistics, econometrics, and data science. I enjoy working with R for data analysis and visualization, depending on the task i might use Python and SQL or any GIS programm.
When I'm not diving into data, you'll find me hiking, practicing karate, or making music. I’m always up for new collaborations and discussions, so feel free to reach out if you’d like to connect!
Expertise & Interests
- Econometrics & Modeling: Bayesian methods, time-series, panel data
- Data Science & Programming: R, Python, SQL, GIS
- Energy & Environmental Economics: Climate impact on energy demand
- Big Data: Wrangling, managing, and visualizing large datasets. Working with georeferenced data from climate models
- Research & Policy: Scientific writing, publishing, and knowledge sharing
- Global Collaboration: Engaging with international research networks
Recent Research
- Temperature Sensitivity of Residential Energy Demand on the Global Scale: A Bayesian Partial Pooling Model
Preprint available here .