Fabian Heinemann
Head Biomedical AI Lab Principal Scientist at Boehringer Ingelheim
Ulm, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolFabian Heinemann is a physicist-turned-AI leader with over a decade of experience applying deep learning and computer vision to quantitative histopathology in pharmaceutical research. As Head of the Biomedical AI Lab and Principal Scientist at Boehringer Ingelheim, he leads global teams building pathologist‑level algorithms for tasks such as NASH scoring and tissue analysis published in Nature. He combines hands-on expertise in Python/TensorFlow and microscopy-derived imaging with a strong academic foundation (Dr. rer. nat.) and earlier roles in ML/NLP and sensor development at Roche and leading university labs. Known for translating biophysical measurement skills (AFM, FCS) into robust computational pipelines, he bridges wet-lab nuance and production AI to accelerate drug discovery.
10 years of coding experience
12 years of employment as a software developer
Diploma, Physics, 1.4, Diploma, Physics, 1.4 at Universität Bremen / University of Bremen
German, English, French
Github Skills (25)
convolutional-neural-networks9
scoring9
loss-functions9
autoencoder8
optuna8
computer-vision6
representations6
deep-learning6
wandb6
chainer6
mri5
regression5
machine-learning5
python5
anomaly-detection5
Programming languages (2)
Github contributions (5)
FabianHeinemann/Deep_learning_for_liver_NAS_and_fibrosis_scoring
Sep 2019 - Sep 2021
Repository for the upcoming publication "Deep learning enables pathologist-like scoring of NASH models"
Contributions:98 commits, 2 PRs, 49 pushes in 1 year 11 months
pytorchnashscoringdeep-learningmachine-learning
Boehringer-Ingelheim/deep-learning-based-quantification-of-NAFLD-NASH
Nov 2022 - Nov 2022
Automated liver NAFLD/NASH scoring
Contributions:38 commits, 34 pushes, 1 branch in 8 days
autoencoderpythonnashloss-functionsscoring
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