Peter Hirsch
Lead AI ML Research Scientist at HHMI Janelia
Nuremberg, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolPeter Hirsch is a Lead AI/ML Research Scientist based in Nuremberg with 12 years of experience in machine learning, computer vision, reinforcement learning, image analysis and optimization. He combines academic rigor—pursuing a doctorate in computer science from Humboldt-Universität—with hands-on research leadership at the Max Delbrück Center and collaborative stints at HHMI Janelia and Technion. His work bridges foundational research and practical systems, including low-level contributions to projects like Mesa's GLSL compiler used historically for mobile shader optimization. Known for shipping reproducible research and lab-driven open-source projects (see the Kainmueller-Lab GitHub), he thrives on turning complex imaging and optimization problems into scalable ML solutions. Colleagues describe him as a pragmatic scientist who moves fluidly between code, algorithms, and biological imaging applications.
12 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Technische Universität DresdenDoctor's Degree, Computer Science, Doctor's Degree, Computer Science at Humboldt-Universität zu BerlinComputer Science, Computer Science at American University of BeirutBachelor's degree, Computer Science in Media, Bachelor's degree, Computer Science in Media at Bauhaus-Universität Weimar
Github Skills (11)
c1710
glsl10
c1110
opengl10
shader9
compile9
cross-compiling9
compiler9
optimizer8
optimizers8
metal7
Programming languages (8)
Github contributions (5)
aras-p/glsl-optimizer
Dec 2013 - Dec 2013
GLSL optimizer based on Mesa's GLSL compiler. Used to be used in Unity for mobile shader optimization.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 1 day
Contributions summary:Peter primarily contributed to Mesa's GLSL compiler, focusing on extensions and core functionality related to buffer objects and texture formats. They implemented functions for the ARB_clear_buffer_object extension, added necessary infrastructure, and modified existing code for format validation and context handling. The user also worked on internal function availability and release notes updates. Their work included adding a new function to the buffer objects.
metalshadersoptimizationgame-developmentcompiler
Kainmueller-Lab/aux_cpv_loss
Jul 2019 - Jan 2022
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Contributions:1 release, 84 commits, 2 PRs in 2 years 6 months
microscopy-imagesauxiliarycomputer-vision3d-microscopynuclei-segmentation
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