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, currently based at UC Berkeley with collaborative ties to the Weizman Institute of Science and University of Hamburg. He holds a PhD in Biomathematics, Bioinformatics, and Computational Biology and focuses on translating clinical questions into quantitative models and bioinformatic analyses. Combining clinician-scientist insight with mathematical rigor, he develops computational tools to extract actionable signals from complex biological data. His international, cross-institutional background enables rapid collaboration across academic and clinical teams.
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 (129)
cells10
python10
topological-data-analysis10
density-estimation10
transcriptomics10
deep-learning10
gpu10
variational-autoencoder10
autoencoder10
single-cell-analysis10
single-cell-genomics10
hierarchical10
mixture-of-experts10
machine-learning10
temporal-data10
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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