Johan Trygg

Platform Director: Metabolomics, Umeå University

Key Publications

The time dimension matters: Improving mode of action classification with live-cell imaging
E Forsgren, J Rietdijk, D Holmberg, J Juneblad, B Migliori, MM Johansson, …
Artificial Intelligence in the Life Sciences, 100152 2025


A conserved transcriptional backbone and rewiring of gene-regulatory networks in activated human CD4⁺ T cells
IS Mihai, I Núñez-Carpintero, D Cirillo, J Trygg, M Forsell, M Selinger
bioRxiv, 2025.11. 25.687998 2025


A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell Culture
A Richelle, D Andersson, A Antonakoudis, J Jakobsson, S Pijeaud, …
bioRxiv, 2025.11. 24.690194 2025


Overcoming the Limits of Traditional Rate Calculations from Sparse Concentration Data: A Probabilistic Framework for Bioprocess Modeling
A Richelle, D Andersson, A Vernersson, O Cloarec, J Trygg
bioRxiv, 2025.09. 30.679468 2 2025


Box it and Track it: A Weakly Supervised Framework for Cell Tracking
N Khalid, M Koochali, K Naseem, G Lovell, B Migliori, DA Porto, J Trygg, …
DAGM German Conference on Pattern Recognition, 3-17

Research interest

Research at the intersection of techbio, AI, and digital biology to accelerate drug discovery and development in biopharma. More specifically, we develop AI and advanced chemometrics tools that simplify the data analysis and biology readout from collected complex multi-modal and molecular data, particularly metabolomics combined with live cell imaging to simulate, predict and control complex biological systems.

Group members

  • David Nilsson
  • Katie Bennett
  • Hans Stenlund
  • Pär Jonsson
  • Edvin Forsgren

Last updated: 2026-02-02

Content Responsible: David Gotthold(david.gotthold@scilifelab.se)