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I am a computational biologist building state-of-the-art machine learning pipelines for biomedical datasets. Biologically understanding the given data and being able to communicate with medical and biological annotators enables me to build machine learning algorithms suited for the problem at hand. I am always striving to improve my skills and have a insatiable hunger to learn about new scientific discoveries in various fields of data science.

Technical University of Munich

University of Hamburg

Computational Biologist

Nabil Jabareen

PHIO scientific GmbH, Munich

Machine Learning Engineer

Development and integration testing of a single cell analysis pipeline using deep learning methods. 
 Single cell detection, segmentation, tracking and death prediction. 
 Real world datasets and communication with the data generating biologists.

Buildingd data analysis tools for the analysis of virus-host interactions. 
 Statistical analysis and visualization of mass spectrometry data 
 Web-based exploration tool build with Angular2+ and Julia

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