Short Bio

David Wuttke is a Research Associate and PhD Candidate in computational biology and digital global public health, combining a background in mechanical engineering, computer science, and artificial intelligence with data-driven biomedical research.

He works in the Virus-Host Interplay Lab, where his research focuses on computational biology and AI to unlock insights from multi-omics data. He develops AI-based dynamic models of virus–host interactions and their impact on the kinome, transcriptome, proteome, and metabolome, analysing experimental omics data from in vitro systems through network analysis to better understand virus replication and virus-associated pathogenesis. His primary interest lies in understanding virus–host interactions and supporting global public health decision-making.

Teaching

Lectures

  • Computer Science Meets Molecular Medicine: Computer Science Based Models for Pathogen-Host Interaction

Topics covered include:

  • Multi Omics Data Integration
  • Vaccine/Drug Development
  • Virus Morphology
  • Pathogen-Host Interactions
  • Pathogen Monitoring/Surveillance

Master's Projects

  • Building a Machine Learning Pipeline to Predict Kinase Activation Scores in Cells based on Images

Short Resume

  • Research Associate & PhD Candidate    Oct 2025 — Present
    Virus-Host Interplay Lab, Digital Global Public Health, Hasso Plattner Institute — Potsdam
  • Master of Science, Digital Health    Oct 2022 — Sep 2025
    Hasso Plattner Institute — Potsdam
  • Erasmus Semester, Artificial Intelligence Engineering    Mar 2024 — Jul 2024 
    "Enzo Ferrari" Department of Engineering, University of Modena and Reggio Emilia — Modena, Italy
  • Design Thinking Basic Track    Apr 2023 — Aug 2023
    HPI School of Design Thinking — Potsdam
  • Bachelor of Engineering, Mechanical Engineering and Computer Science    Sep 2018 — Mar 2022
    University of Applied Sciences and Arts — Hanover

Selected Publications

  • pyKinaXe: a fast and robust turnkey kinase activity profiler with high resolution. Wuttke D., Hildt E., Kolesnichenko PV. bioRxiv (preprint). doi: 10.64898/2026.05.12.724658 (2026)