
معرفی
Kay Hamacher is a Professor of Computational Biology & Simulation at the Department of Biology, with co-appointments in the Department of Computer Science and Department of Physics at Technische Universität Darmstadt. His research bridges mathematical modeling, biostatistics, and privacy-enhancing technologies for biomedical data.
- Develops advanced algorithms for stochastic global optimization in molecular systems
- Co-investigator in HiGHmed, CORD, and Athene consortia for secure medical data analysis
- Principal investigator of the Biotite project for computational biology tools
His work focuses on:
- Computational biophysics of ion channels (e.g., HCN4) and protein complexes
- Secure data science for personalized medicine and genome-wide studies
- Algorithm development in metaheuristics and dynamic graph analysis
Publications span 2024–2022 with breakthroughs in:
- HCN channel structural modeling
- Privacy-preserving epistasis analysis
- Hydrogen atom placement in molecular simulations
- Secure multi-party computation frameworks
- Statistical complexity measures
Scientific awards include:
- Best Paper Award (GECCO2021) for genetic algorithm niching
- DeGBS Best-Paper-of-the-Year (2021) for DNA damage response research
As an advisor, he mentors Magnus Behringer and Jan Krumbach, while leading a lab that integrates privacy, algorithms, and structural biology. Collaborations include CompuGene, iNAPO, and CORD-MI initiatives.
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