Christina Bukas is an AI consultant specializing in applying state-of-the-art models to medical and biological research, with eight years of experience bridging research and production at Helmholtz AI. Based in Munich and trained with a Master’s in Biomedical Computing from TUM, she focuses on biomedical imaging and image segmentation using data-centric approaches that prioritize reproducible, deployable solutions. Her background includes hands-on roles from embedded optical imaging on Jetson devices to web visualization of anatomical point clouds, giving her a rare combination of hardware, software and domain expertise. She has supported academic and social-good projects as a visiting researcher and project manager, guiding teams from conceptualization through deployment. Colleagues value her ability to translate complex research questions into practical AI workflows that integrate into clinical and research pipelines.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Biomedical Computing, 1.4, Master's degree, Biomedical Computing, 1.4 at Technical University Munich
Electrical and Computer Engineering, 7.86, Electrical and Computer Engineering, 7.86 at Aristotle University of Thessaloniki (AUTH)
Contributions:73 commits, 1 push in 2 years 4 months
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