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Nabil Jabareen

Nabil Jabareen

Computational Biologist

Berlin, GER
German, English, Arabic, Spanish

Background


About

About

I am a computational biologist with a strong focus on building machine learning pipelines for biomedical datasets. Biologically understanding the given data and beeing able to communicate with medical or biological annotators anables me to build machine learning algorithms suited for the problem at hand. I am always stiving to improve my skills and have insatiable hunger to learn about new developments in various fields of data science.

Work Experience

Work Experience

  • Frontend Developer

    Feb, 2020 - Present

    Website construction for various medical enginieering and hospital planning company's.

  • Machine Learning Engineer - Internship

    Mar, 2019 - Sep, 20196 months

    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.

  • Data scientist

    Apr, 2018 - Sep, 20191 year 5 months

    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

Skills

Skills

  • Frameworks & Applications

    TensorFlow

    Keras

    OpenCV

    Angular2+

    Google Cloud ML API

    Git

    Conda

  • Programming

    Python

    Julia

    Java

    R

    JavaScript

Education

Education

  • Bioinformatics, Master, Technical University of Munich & Ludwig Maximilian University

    Oct, 2017 - Sep, 2020

    1.8

    Introduction to Deep Learning

    Knowlidge Discovery in Databases I+II

    Machine Learning

  • Biology, Bachelor, University of Hamburg

    Oct, 2013 - Mar, 2017

    1.5

    Sofware development in Java

    Data analysis in R

    Statistics

Volunteer Work

Volunteer Work

  • Ecological Volunteer, Jordsand Society

    Jul, 2017 - Jul, 2017

    Protected area management and biomonitoring.

Publications

Publications

  • Master thesis, Helmholtz Center Munich, Institute for computational biology

    Published on: Aug 15, 2020

    Validation of deep learning methods for single cell detection and tracking in lensfree microscopy images

  • Bachelor thesis, University of Hamburg, Institute for plant genetics

    Published on: Jun 01, 2017

    Investigation of the role of RNase T2 in the generation of tRNA halves

Interests

Interests

  • Reading

    Judea PearlJohn IoannidisBenoit Mandelbrot
  • Sport

    Brazilian Jiu-JitsuMarathon