Vollmer Research Group is a constellation of researchers that—while geographically and institutionally spread—are united under the supervision of Professor Sebastian Vollmer, with a shared goal of advancing data science methods and tools, and using them across industrial and socially-important applications.

Our main homes are the German Research Center for Artificial Intelligence (DFKI, where we form the 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.

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