Stefan Kesselheim

Head of Lab "Applied Machine Learning"

Forschungszentrum Jülich

Germany

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Stefan Kesselheim is the Head of the Lab "Applied Machine Learning" at Forschungszentrum Jülich GmbH in Germany. His research focuses on the intersection of artificial intelligence and various applications, including microbial viability inference, heliostat calibration, and structure-based drug discovery. Recent publications also include work on colloidal interactions and numerical solutions using machine learning techniques.

Articles (5)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (4)

Alexander Schlaich

University of Stuttgart

GERMANY

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Edward J. Martin

University of Edinburgh

UNITED KINGDOM

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Christian Holm

University of Stuttgart

GERMANY

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Marcello Sega

Associate Professor in Molecular Thermodynamics

University College London

UNITED KINGDOM

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Stefan Kesselheim

Research Interests

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Articles (5)

Nanopore- and AI-empowered microbial viability inference

In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence

Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing

MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery

Renormalized charge and dielectric effects in colloidal interactions: a numerical solution of the nonlinear Poisson–Boltzmann equation for unknown boundary conditions

Collaborators (4)

Alexander Schlaich

Edward J. Martin

Christian Holm

Marcello Sega

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