Moritz Schaefer is a computational biologist and postdoctoral researcher with 12 years of experience building representation learning and generative AI methods for biomedical data. Trained in computer science at TU Berlin and with a PhD from ETH Zurich, he blends wet-lab insight with deep learning to dissect regulatory networks in early development. His postdoctoral work at the Medical University of Vienna and CeMM (now continuing at Stanford) focuses on multimodal AI architectures that bridge single-cell genomics and experimental assays. Comfortable across full-stack engineering, data science and lab workflows, he has moved between industry and academia—from Bayer and Rocket Internet to cutting-edge research institutes—bringing pragmatic software engineering to complex biological problems. Notably, his background as a wet-lab scientist informs model design and evaluation in real experimental contexts, reducing translation gaps between models and bench.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Informatik, Bachelor of Science (B.Sc.), Informatik at 上海交通大学
Informatik, Informatik at Universidad de La Laguna
Abitur, Informatik, Abitur, Informatik at Gewerbliche Schule Tübingen
Bachelor of Science (B.Sc.), Computer science, Bachelor of Science (B.Sc.), Computer science at TU Berlin
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Technische Universität Berlin
Doktor (Ph.D.), Biology, General, Doktor (Ph.D.), Biology, General at ETH Zürich
Contributions:55 pushes, 2 branches in 7 years 4 months
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