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Paul van Lent
What I've done
Highest degree
PhD
Current role
PhD Student
Skills
Python Pytorch R Programming
Contribution to Project (1)
van Lent, P., Schmitz, J., & Abeel, T. (2023). Simulated design–build–test–learn cycles for consistent comparison of machine learning methods in metabolic engineering. ACS Synthetic Biology, 12(9), 2588-2599.
Contribution to Project (2)
van Lent, P., Bunkova, O., Magyar, B., Planken, L., Schmitz, J., & Abeel, T. (2025). Jaxkineticmodel: Neural ordinary differential equations inspired parameterization of kinetic models. PLOS Computational Biology, 21(7), e1012733.
Contribution to Project (3)
van Lent, P., van der Hoek, R., Paz, S. M., Kooi, I., Jonkers, M., Zwartjens, P., ... & Abeel, T. (2025). Machine learning-assisted pathway optimization in large combinatorial design spaces: a p-Coumaric acid case study. bioRxiv, 2025-06.
What I'm looking for
Sector(s) of Interest
Industry Academia
Role(s) of Interest
Bioinformatician
Research Fields & Keywords
bioprocess development biotechnology machine learning microbial biotechnology scientific computing Scientific Machine Learning
Career Goals
Industry Research Consulting Start-up
Countries of Interest
Germany Netherlands
Location/City of Interest
Germany
Remote requirements
On-site Hybrid Remote
Contact and Links
Email, LinkedIn, Google Scholar