Can Ergen
Postdoctoral Researcher at University of California, Berkeley
California, United States
Summary
🤩
Rockstar🎓
Top SchoolCan Ergen is a computational biology postdoctoral researcher with a decade of experience bridging biomathematics, bioinformatics, and clinical science across institutions in California, Israel, and Germany. Based at UC Berkeley and affiliated with the Weizmann Institute while trained as a clinician-scientist at the University of Hamburg, he combines rigorous PhD-level modeling with hands-on computational analysis of biomedical data. His work sits at the intersection of theory and practice, translating mathematical models into tools that inform experimental design and clinical insight. Comfortable moving between code, statistical inference, and domain-specific biology, he brings an interdisciplinary perspective that speeds hypothesis-to-result cycles. Known for collaborating across labs and disciplines, he leverages clinical training to keep computational projects grounded in real-world medical questions.
10 years of coding experience
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at University of Hamburg
Github Skills (119)
python10
topological-data-analysis10
density-estimation10
deep-learning10
transcriptomics10
gpu10
variational-autoencoder10
autoencoder10
single-cell-analysis10
single-cell-genomics10
hierarchical10
mixture-of-experts10
machine-learning10
temporal-data10
tsne10
Programming languages (10)
Github contributions (5)
YosefLab/popV
Jun 2022 - Dec 2022
Contributions:3 releases, 1 review, 31 commits in 6 months
YosefLab/destvi_utils
Apr 2022 - Sep 2024
Utilities for downstream analysis of destVI
Contributions:2 releases, 8 PRs, 39 pushes in 2 years 6 months
downstreampythonvisualization
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