Moritz Kirschte is a PhD candidate at Universität zu Lübeck specializing in privacy-preserving machine learning, combining rigorous research with 11 years of hands-on software and ML engineering. He builds and deploys models across LSTM, CNN, VAE and reinforcement learning, and is proficient in Java, Python, Haskell, C++, Swift and modern ML tooling like TensorFlow, Keras and Kubernetes. Beyond academia, he co-founded an AI research lab and an AI-as-a-Service startup, led applied ML projects in e-commerce, and contributed practical solutions from bot detection to visual scene understanding. Moritz organizes Hamburg’s largest AI meetup (2,000+ members) and writes for Towards Data Science, blending public speaking, community curation and technical communication. Holding strong teaching and project-management credentials (CAPM), he brings a rare mix of research depth, product-facing delivery and community leadership. Notably, his work emphasizes trustworthy, privacy-first ML—bridging theoretical PPML advances with real-world deployments.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Medical Informatics, 1.3, Master of Science - MS, Medical Informatics, 1.3 at Universität zu Lübeck
Bachelor of Science - BS, Computer Science, 1.6, TOP-10% (best of cohort), Bachelor of Science - BS, Computer Science, 1.6, TOP-10% (best of cohort) at Fachhochschule Wedel
Contributions:6 PRs, 17 pushes, 7 branches in 2 years 5 months
unixunix-scriptslinuxbashconfig
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