Tingying Peng

Helmholtz AI Group Leader at Helmholtz Zentrum München

Greater Munich Metropolitan Area Germany
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Summary

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Senior
🎓
Top School
Tingying Peng is a Helmholtz AI group leader with nine years of experience applying machine learning, signal and image processing, and computational modelling to biomedical problems. With a PhD from Oxford and earlier training in electrical engineering and applied math from Peking University, she has led independent and collaborative research bridging patient-specific simulation, feature extraction, and system identification. Her career spans academia and industry—from postdoctoral roles and teaching at top universities to research and product-focused work at Siemens and patent engineering—giving her a rare blend of rigorous modeling skills and practical development perspective. She excels at translating complex physiological models into data-driven tools and mentoring junior researchers, and she publishes and presents regularly in international venues. An understated strength is her experience integrating clinical imaging with simulation workflows to produce actionable predictions for interventions.
code9 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at University of Oxford
bookBachelor of Science (B.Sc.), Electrical and Electronics Engineering, Minor in Applied Math, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Minor in Applied Math at Peking University
languagesChinese, English, German
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Github Skills (8)

ultrasound4
kaggle3
segmentation2
tensorflow2
image-segmentation2
deep-learning2
keras2
pytorch2

Programming languages (1)

Python

Github contributions (5)

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marrlab/BaSiC

Jul 2017 - Jan 2022

Contributions:12 commits, 13 pushes, 8 comments in 4 years 7 months
tying84/BaSiCPy

Mar 2022 - Mar 2022

Contributions:1 push in 1 day
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Tingying Peng - Helmholtz AI Group Leader at Helmholtz Zentrum München