معرفی
Maximilian Miller is a Research Fellow at the BrombergLab, affiliated with the School of Environmental and Biological Sciences and Department of Biochemistry and Microbiology. He focuses on variant effect prediction, metagenome analysis, and high-performance computing infrastructure.
- PhD in Bioinformatics (2018) from Technical University Munich
- MSc and BSc in Bioinformatics (2012, 2009) from Ludwig-Maximilians-University Munich / Technical University Munich
His research employs machine learning to understand how protein mutations relate to disease, with applications in precision medicine and microbiome studies. He develops tools like clubber for cluster computing and funtrp for functional tuning analysis. The most recent 15 articles span variant interpretation, metagenomic pipelines, and computational method assessment across bioinformatics, protein science, and environmental microbiology.
Scientific recognition includes the CAMDA Fellowship for ISMB/ECCB 2019. His work addresses challenges in metagenome recovery (e.g., Deepwater Horizon oil-spill study), taxonomic vs. functional shifts, and predictor performance benchmarks through the Critical Assessment of Genome Interpretation (CAGI) framework.
