معرفی
Daniel Huson is a Professor of Algorithms in Bioinformatics at the University of Tübingen, affiliated with the Faculty of Science and actively contributing to the Computer Science Department. He has held this position since 2002 and previously served as Senior Staff Scientist at Celera Genomics (1999-2002) and Post-Doc at Princeton University and the University of Pennsylvania (1997-99).
- Education:
- PhD in Mathematics, Bielefeld University (1990, summa cum laude)
- Habilitation in Mathematics, Bielefeld University (1997)
- Studied Mathematics and Physics, University of Washington (1980-86)
Research Interests:
- Designing algorithms for bioinformatics and computational biology
- Metagenomic data analysis using tools like MEGAN and SplitsTree
- Phylogenetic networks and evolutionary modeling
- Microbiome dynamics and industrial bioproduction optimization
- Development of interactive software for biological data visualization
- Exploring autocatalytic reaction networks in early biochemistry
Scientific Contributions:
- Developed MEGAN, a widely used metagenome analysis tool
- Created SplitsTree for phylogenetic network analysis
- Published extensively on microbiome analysis, metagenomic binning, and evolutionary relationships
- Contributed to power-to-gas technology and bioelectrochemical systems
Awards & Grants:
- Royal Society of New Zealand International Leader Fellowship (2020-22)
- PLOS Computational Biology Research Prize (2017)
- Technology Transfer Prize of the IHK Reutlingen (2016)
- Co-organizer of major conferences (GCB, RECOMB, ISMB, etc.)
Leadership Roles:
- Head of Computer Science Department (2011-14)
- Founding member of Computomics (since 2012)
- Faculty member of IMPRS 'From Molecules to Organisms' (since 2011)
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