Ali Boushehri is a Senior Scientist based in Munich with eight years of experience applying deep learning and computer vision to biological problems, currently advancing AI-driven solutions at Roche. With a PhD trajectory in Computational Biology from TUM and a strong foundation in mathematical modelling, he bridges rigorous academic research and product-focused engineering. His career blends industry and advisory roles—from leading analytics at aiconix to advising NATIX—demonstrating an ability to move models from prototype to applied settings. Known for integrating quantitative modelling with practical imaging pipelines, he often tackles noisy, real-world biological data where domain-aware architectures matter.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computional Biology, Doctor of Philosophy - PhD Computional Biology at Technical University of Munich
Master’s Degree Mathematical Modelling in Engineering, Master’s Degree Mathematical Modelling in Engineering at Hamburg University of Technology
Master’s Degree Mathematical Modelling in Engineering, Master’s Degree Mathematical Modelling in Engineering at University of Hamburg
Master’s Degree Mathematical Modelling in Engineering, Master’s Degree Mathematical Modelling in Engineering at Università degli Studi dell'Aquila
Bachelor of Science Mechanical Engineering double major with Applied Mathematics, Bachelor of Science Mechanical Engineering double major with Applied Mathematics at Isfahan University of Technology
Contributions:1 release, 1 PR, 9 pushes in 1 year 4 months
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