معرفی
Philipp Adämmer is a researcher at the Institute of Data Science at the University of Greifswald. His work bridges financial econometrics, machine learning, and text mining, with a focus on leveraging big data for economic forecasting and predictive modeling. He contributes to interdisciplinary education in data science for social sciences and humanities students.
Education:
- Doctorate in Economics, University of Münster (2016)
Research interests emphasize high-dimensional data analysis, nonlinear econometric models, and integrating textual information into macroeconomic predictions. His publications explore topics such as tail risk forecasting, equity premium modeling, and methodological challenges in support recovery for time series.
Research grants include funding from the German Research Foundation (DFG) for developing super learning algorithms in economic time series prediction. Teaching spans data science, econometrics, and quantitative risk management, with software contributions including R packages for local projections and high-dimensional analysis.
His professional trajectory includes postdoctoral research at Helmut Schmidt University Hamburg (2016-2022) and substitute professorship at Technical University Dortmund's Econometrics and Statistics chair (2020-2021).
