Andreas Schuh

Staff Research Scientist at HeartFlow, Inc

Cambridge, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Andreas Schuh is a Staff Research Scientist based in Cambridge with 14 years of experience applying advanced image analysis and machine learning to medical imaging, particularly registration and reconstruction of brain and cardiac volumes. He combines a strong academic background (PhD in Biomedical Image Analysis) with production experience at HeartFlow, where he led development of deep learning models for CCTA co-registration and scaled MLOps for cloud deployment. Andreas is an expert C++ and Python engineer who has optimized core libraries, contributed portability and modern-build improvements to widely used projects like gflags, and published an open-source medical image registration toolkit (MIRTK). His work spans from neonatal cortical surface reconstruction to vessel centerline extraction in CTA, and he has a track record of achieving order-of-magnitude speedups through algorithmic and engineering refinements. Notably, he blends research rigor with pragmatic software design to move complex imaging algorithms reliably into clinical-grade pipelines.
code13 years of coding experience
job16 years of employment as a software developer
bookDoctor of Philosophy - PhD Biomedical Image Analysis, Doctor of Philosophy - PhD Biomedical Image Analysis at Imperial College London
bookDiplom Computer Science, Diplom Computer Science at FAU Erlangen-Nürnberg
languagesEnglish, German
github-logo-circle

Github Skills (5)

c-language10
cmake10
cprogramming-language10
warnings9
compiler-errors9

Programming languages (11)

TypeScriptC++ShellCBatchfileCMakeScalaJavaScript

Github contributions (5)

github-logo-circle
gflags/gflags

May 2012 - Jan 2019

The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
Role in this project:
userBack-end Developer
Contributions:5 releases, 4 reviews, 337 commits in 6 years 9 months
Contributions summary:Andreas primarily contributed to fixing compiler warnings and adapting the codebase to newer C++ standards. Their work involved modifying core source files, specifically focusing on addressing deprecation warnings related to Windows portability, comparison of signed and unsigned integers, and the addition of a validator macro for flag registration. Additionally, the user added support for CMake builds and adjusted source files to integrate with the new build system.
cppstringbazelc-librarygflags
schuhschuh/MIRTK

Jan 2016 - Feb 2021

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK. Contains common CMake build configuration module, core modules, and basic command-line tools. Additional modules are hosted by the MIRTK GitHub group.
Contributions:1112 pushes, 1114 branches, 10 tags in 5 years 2 months
core-modulescmakemedical-imagebuild-configurationhosted
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.
Request Free Trial
Andreas Schuh - Staff Research Scientist at HeartFlow, Inc