Markus List
Scholar

Markus List

Google Scholar ID: jUC0gLMAAAAJ
Data Science in Systems Biology, School of Life Sciences, Technical University of Munich
computational biologybioinformaticsregulatory genomicsepigenomicssystems medicine
Citations & Impact
All-time
Citations
6,256
 
H-index
33
 
i10-index
77
 
Publications
20
 
Co-authors
167
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Established a partnership with EURAC Research, providing internal researcher status to PhD candidates
  • - Launched a YouTube channel named DaiSyBio
Research Experience
  • - Professor of Data Science in Systems Biology at TUM School of Life Sciences
  • - Involved in various research projects, such as the DyHealthNet collaboration
Background
  • Researcher in Data Science for Systems Biology; focuses on bioinformatics, machine learning, data integration, and visualization.