Daniel Wiebe Email
Lead AI Engineer @ BostonGene
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Daniel Wiebe Location
- Paderborn, NRW, DE
Daniel Wiebe Work
- Lead AI Engineer @ (June 2025 - Present)
- Senior Bioinformatician and AI Engineer @ (September 2022 - May 2025)
- Bioinformatician @ Institute of Cytology and Genetics SB RAS (September 2012 - September 2022)
- Bioinformatician @ (September 2016 - November 2016)
Daniel Wiebe Education
- Novosibirsk State University (NSU)
Master's degree (Biomathematics, Bioinformatics, and Computational Biology)
2013-2015 - Novosibirsk State University (NSU)
Bachelor's degree (Biomathematics, Bioinformatics, and Computational Biology)
2009-2013 - Institute of Cytology and Genetics SB RAS
Doctor of Philosophy - PhD (Biomathematics, Bioinformatics, and Computational Biology)
2015
Daniel Wiebe Skills
- Agentic Automation
- Anndata
- Bash
- Bioinformatics
- Data Analysis
- Genetics
- Git
- GitFlow
- High Performance Computing (HPC)
- Linux
- Machine Learning
- NGS
- NumPy
- Pandas (Software)
- Plant Biology
- Programming
- PyTorch
- Python (Programming Language)
- R (Programming Language)
- RNAseq
- Scanpy
- Scikit-Learn
- Single Cell Sequencing
- Slurm Workload Manager
- Squidpy
- Statistics
- Transcriptomics
- dask
- docker
- nextflow
- scikit-image
- zarr
Daniel Wiebe Summary
- Daniel Wiebe, based in Paderborn, NRW, DE, is currently a Lead AI Engineer at BostonGene. Daniel Wiebe brings experience from previous roles at BostonGene, Institute of Cytology and Genetics SB RAS and The Martin Luther University of Halle-Wittenberg. Daniel Wiebe holds a 2013 - 2015 Master's degree in Biomathematics, Bioinformatics, and Computational Biology @ Novosibirsk State University (NSU). With a robust skill set that includes Agentic Automation, Anndata, Bash, Bioinformatics, Data Analysis and more. Daniel Wiebe has 1 emails on RocketReach.
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