Author

David Andersson

Sartorius (Germany)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Assay:metabolomics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Anne RichelleiD· 2 shared Anton Vernersson· 2 shared Johan TryggiD· 2 shared Athanasios AntonakoudisiD· 1 shared Jesper Jakobsson· 1 shared Olivier CloareciD· 1 shared Shanti Pijeaud· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBioengineering

Anne RichelleORCID

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2 papers

Recent·Most cited

Overcoming the Limits of Traditional Rate Calculations from Sparse Concentration Data: A Probabilistic Framework for Bioprocess Modeling

Anne Richelle, David Andersson, Anton Vernersson, Olivier Cloarec, Johan Trygg

This paper introduces a probabilistic framework using Bayesian inference to improve metabolic rate estimation from sparse concentration data in bioprocesses.

Bioprocess and Biosystems Engineering · Jul 13, 2026Peer-reviewedBioengineering

A Hybrid Modeling Framework for Predictive Digital Twins of CHO Cell Culture

Anne Richelle, David Andersson, Athanasios Antonakoudis, Jesper Jakobsson, Shanti Pijeaud, Anton Vernersson, Johan Trygg

The paper develops a hybrid modeling framework for predicting CHO cell culture digital twins by integrating ODE models, metabolic constraints, and machine learning trained on Bayesian-estimated metabolic rates.

Computational and Structural Biotechnology Journal · Mar 1, 2026Peer-reviewedBioengineering