Moritz Schaefer
Forscher (Postdoktorand) at Stanford University
Vienna, United States
Summary
👤
Senior🎓
Top SchoolMoritz 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 LagunaAbitur, Informatik, Abitur, Informatik at Gewerbliche Schule TübingenBachelor of Science (B.Sc.), Computer science, Bachelor of Science (B.Sc.), Computer science at TU BerlinMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Technische Universität BerlinDoktor (Ph.D.), Biology, General, Doktor (Ph.D.), Biology, General at ETH Zürich
French, Spanish, English, Chinese, German
Stackoverflow
691reputation
63kreached
9answers
7questions
Github Skills (200)
vim10
gmail10
transcriptomics10
google-maps10
document-management10
file-sharing10
text-editing10
visualization10
python10
icloud10
window-manager10
plot10
emacs-lsp10
hipchat10
skype10
Programming languages (23)
Github contributions (5)
epigen/CellWhisperer
Oct 2024 - Mar 2026
CellWhisperer bridges the gap between transcriptomics data and natural language, enabling intuitive interaction with scRNA-seq datasets
Contributions:2 PRs, 15 pushes, 10 branches in 1 year 4 months
transcriptomics
moritzschaefer/cv
Feb 2015 - May 2025
Contributions:18 pushes, 4 branches in 10 years 4 months
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