Tassilo Wald
PHD Student at DKFZ German Cancer Research Center
Heidelberg, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolTassilo Wald is a Ph.D. student at DKFZ in Heidelberg specializing in medical image computing, with eight years of experience bridging electrical engineering and computational research. Trained with an MS in Electrical Engineering and Information Theory from KIT, he applies signal-processing fundamentals to advanced imaging problems in oncology research. His work combines rigorous academic methods with practical tool development for medical imaging pipelines, often translating theory into reproducible code. Based in Germany, he brings a measured, research-driven approach and a knack for turning complex imaging challenges into impactful experimental systems. An implicit strength is his interdisciplinary fluency—comfortably navigating hardware-aware signal concepts and machine learning techniques to push imaging analysis forward.
8 years of coding experience
Master of Science - MS, Electrical Engineering and Information Theory, Master of Science - MS, Electrical Engineering and Information Theory at Karlsruhe Institute of Technology (KIT)
Github Skills (45)
segmentation10
classification6
elastix6
data-augmentation5
medical5
image-registration5
image-reconstruction4
simpleitk4
hierarchical4
image-filters4
deep-learning4
computer-vision4
kitti-dataset3
sparse3
self-supervised-learning3
Programming languages (4)
Github contributions (5)
TaWald/nnUNet
Jun 2021 - Mar 2025
Contributions:8 pushes, 5 branches in 3 years 9 months
TaWald/InstanceNrrd
Oct 2024 - Jan 2025
A nrrd based imaging standard to save overlapping segmentation maps in a format that allows visualization in MITK
Contributions:1 PR, 2 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.