TDCC-LSH FAIR Fellowship
2025-2026Building expertise in FAIR data management and AI-ready research data for life sciences.
Sören Wacker
Research HPC/AI/Software Engineer
With a background spanning physics, biology, and chemistry, I build tools that make complex scientific workflows reproducible, scalable, and maintainable. My work connects life science research with HPC infrastructure and ML pipelines - rapidly prototyping solutions and turning ad-hoc analysis into automated, well-documented systems.
Selected Projects
HPC cluster usage visualization tool for resource planning and optimization.
CropXR: Climate-Adaptive Agriculture Platform
2023-Present (10-year project)Dutch initiative developing climate-resilient crop varieties through AI and computational modelling.
SCENNIA: Microbial Cell Image Segmentation & Classification
2024 (6-week project)Deep learning demo for automated microbial cell analysis, supporting a $2M grant.
World's largest microbial multi-omics dataset for antimicrobial resistance research.
Automated proteomics QC platform that reduced processing time by 98%.
Open-source Python library for processing large-scale metabolomics datasets.
Machine Learning for Drug Discovery (Achlys-Inc)
2014-2016ML startup predicting cardiac toxicity of drug candidates.
Side Projects
graph-core
2024Hierarchical node management app with tree, card, and graph views.
My Shopping List
2024Real-time collaborative shopping list with Firebase authentication.
PhD in Computational Drug Design & Molecular Dynamics Simulations
Georg-August University & Max Planck Institute, Göttingen · 2012
Physics Studies (Diplom)
Leibniz University Hannover & University of Göttingen · 2002-2009