Lennart Hilbert
Scholar

Lennart Hilbert

Google Scholar ID: XoNBJfIAAAAJ
Karlsruhe Institute of Technology
Systems BiologyBiophysicsLight Microscopy
Citations & Impact
All-time
Citations
802
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • The lab is part of the Institute of Biological and Chemical Systems – Biological Information Processing (IBCS-BIP), a multidisciplinary center for biological research at KIT. Lennart Hilbert is a lifetime-tenured full Professor of Systems Biology/Bioinformatics, acting as Department leader at IBCS-BIP with a teaching affiliation at the Zoological Institute of KIT. The group is also embedded in the BioInterfaces International Graduate School and the Helmholtz Information and Data Science School for Health (HIDSS4Health). Core-funded through the Helmholtz Association Program 'Natural, Artificial and Cognitive Information Processing'. Additionally, associated with and partially funded by the Center for Synthetic Genomics SynGen. Further funding comes from the German Research Foundation (DFG).
Research Experience
  • Leads a research group at Karlsruhe Institute of Technology (KIT) exploring operation principles and 3D architectures that support effective information processing with DNA. Uses live and super-resolution microscopy to observe stem cells and developing zebrafish embryos. Advances from specific observations to generally applicable and transferable operation principles and system architectures through molecular dynamics and biophysics simulations. Applies fundamental research towards the rational and computer-guided design of synthetic systems.
Background
  • Research interests include effective information processing with DNA as a material substrate, visualizing the inner workings of the cell nucleus, and applying and developing machine learning and AI-based image analysis approaches. Specializes in Systems Biology/Bioinformatics.
Miscellany
  • Aims to contribute to cell-embedded DNA computing and the predictive design of future DNA-based computer hardware.
Co-authors
0 total
Co-authors: 0 (list not available)