Vollmer Research Group
Vollmer Research Group is a constellation of researchers that are geographically and institutionally spread, but united under the supervision of prof. Sebastian Vollmer and with a shared goal of advancing data science methods and tools, and using them across both industrial and socially important applications.
Our main homes are German Research Center for AI (DFKI, where we form Data Science and its Applications research department), and TU Kaiserslautern (where we form the Applied Machine Learning group).
Vollmer research group currently focuses on four major streams:
- Bayesian methodology and Monte Carlo Methods: the development of novel methodologies and the extension of established theoretical works pertaining to machine learning.
- Machine Learning in Julia: Development of the software package Machine Learning in Julia (MLJ), a modelling toolbox providing a common interface and meta-algorithms for selecting, tuning, evaluating and building composite models.
- Applications of machine learning with a focus on health care: The research group has applied these methodologies to develop tools to generate actionable insights to inform the British government’s response to COVID-19, perform treatment selection for diabetes and predict emergency admissions in Scotland.
- Data Science for Social Good: We use our knowledge in these areas to champion new ways of delivering impact, through short term collaborations with industrial, nonprofit and academic partners to address real-world challenges in programs that combine training and delivery.
