Jens Petersen
Research Scientist (Staff Engineer) at Qualcomm
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolJens Petersen is a research scientist and staff engineer based in Amsterdam with 11 years of experience at the intersection of deep learning, medical imaging, and generative vision. Currently on Qualcomm’s Generative Vision team, he focuses on improving diffusion model efficiency and using generative foundation models to synthesize training data. His background includes a PhD in Physics (magna cum laude) and a track record leading research groups at DKFZ, where he worked on deep learning for tumor growth modeling and supervised junior researchers. Jens is a hands-on open-source contributor to tooling for medical image augmentation and testing—contributing tests to the widely used MITK toolkit and transforms to the MIC-DKFZ batchgenerators project—highlighting his emphasis on robust, reproducible pipelines. He also co-developed the Trixi experimentation framework and organized a large regional AI community, showing a blend of engineering, mentorship, and community-building. Colleagues describe him as someone who bridges rigorous academic research with production-focused engineering to make advanced models practical for real-world biomedical use.
10 years of coding experience
7 years of employment as a software developer
Physics, Physics at Universidad Autónoma de MadridBachelor's Degree, Physics, Bachelor's Degree, Physics at Ruprecht-Karls-Universität Heidelberg / University of HeidelbergMaster's Degree, Physics, with Distinction, Master's Degree, Physics, with Distinction at Imperial College LondonDoctor of Philosophy - PhD, Physics, magna cum laude, Doctor of Philosophy - PhD, Physics, magna cum laude at Heidelberg University
German, English, Spanish
Stackoverflow
349reputation
28kreached
8answers
0questions
Github Skills (20)
cpp-library10
c-language10
python10
image-processing10
testing10
machine-learning10
image-segmentation10
segmentation10
transform10
cprogramming-language10
data-augmentation10
numpy9
web-framework8
neural-network6
keras6
Programming languages (5)
Github contributions (5)
MIC-DKFZ/batchgenerators
Nov 2017 - Dec 2018
A framework for data augmentation for 2D and 3D image classification and segmentation
Role in this project:
ML Engineer
ML EngineerContributions:21 commits in 1 year 1 month
Contributions summary:Jens made several contributions related to data augmentation and image processing within the `batchgenerators` repository, which is a framework for image classification and segmentation. Their work included fixing typos, adding convenience access methods, merging branches with API improvements, and creating new transforms for manipulating segmentation channels. Additionally, they added transforms for multi-channel one-hot and argmax conversions, demonstrating a focus on image data manipulation and preparing data for machine learning models.
classificationdata-augmentationdeep-learningcomputer-vision3d-image
MITK/MITK
Aug 2015 - Jan 2017
The Medical Imaging Interaction Toolkit.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:54 commits in 1 year 5 months
Contributions summary:Jens's contributions primarily involve adding and modifying unit tests within the repository. They introduced an empty test file and incorporated it into the project's build system. The user also started to implement a test suite related to segmentation interpolation, adding test setup and initial test methods. Through these changes, the user is ensuring the software functionality is correct by implementing and modifying unit tests.
dicom-browserinteractionmitkitkdicom
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