Kristof Schütt - Senior Principal Machine Learning Research Scientist at Pfizer

Kristof Schütt

Senior Principal Machine Learning Research Scientist at Pfizer

Berlin, Germany

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Summary

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Senior

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Top School

Kristof Schütt is a Senior Principal Machine Learning Research Scientist in Berlin with nearly a decade of hands-on experience building deep learning models for quantum chemistry, materials science and related applications. He holds a summa cum laude Dr.-Ing. in Machine Learning and has led research groups and PhD supervision at Technische Universität Berlin before moving to industry at Pfizer. Kristof is a core contributor and back-end engineer on SchNetPack, extending its atomistic modules (forces, dipoles, polarizability) and driving PyTorch-based toolchains for ML-driven quantum simulations. His work spans interpretable architectures, equivariant neural networks and generative models for molecules, bridging foundational research and production-ready implementations. Notably, he has applied deep learning beyond chemistry—developing speech-enhancement models for hearing aids—demonstrating a pragmatic ability to translate research into real-world products.

9 years of coding experience

11 years of employment as a software developer

Dr.-Ing. (PhD), Machine Learning, summa cum laude, Dr.-Ing. (PhD), Machine Learning, summa cum laude at Technische Universität Berlin

German, English

Github Skills (17)

pytorch10

back-end-development10

python10

machine-learning10

scientific-computing10

model-driven9

molecular-simulation9

gradient9

nonlinear-dynamics9

molecular-dynamics-simulation9

modeling9

model-driven-development9

model-building9

tensorflow8

tensorrt8

Programming languages (1)

Python

Github contributions (5)

atomistic-machine-learning/SchNet

Oct 2017 - Sep 2018

Contributions:46 commits, 36 pushes, 2 branches in 11 months

atomistic-machine-learning/dtnn

Mar 2017 - Jul 2017

Contributions:9 commits, 7 pushes, 1 branch in 4 months

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