Jens Hooge

Bioinformatician - Data Scientist - Life Long Learner


About This Site:
My Live Portfolio

The following bite-sized sections will tell you a lot about me in a few minutes:

  • Micro bio.
  • A blog about my projects.
  • Current research work.
  • Two-page CV.
  • Open-source projects.

Bio

I'm a Bioinformatician with a strong interest in Machine Learning, Data Analysis and Data Visualization. In my thesis I wrote a python toolkit, called RAILIN, to predict protein structures from nuclear magnetic resonance data using an approach based on Integer Linear Programming and Bayes classification. Currently, I'm part of a bioinformatics research group at Bayer HealthCare that is involved in the process of drug target discovery.

RAILIN

My Path To Become A Data Scientist

My Blog:
Entropy Powered Science

Together with my friend and colleague Robert Adams, I write and discuss about my adventures in Machine Learning and Bioinformatics in the world of Genomics and Precision Medicine.

Go to my Blog

Software:
Open-Source Projects

In my spare time I enjoy working on my own projects while contributing to the open-source community. I am particularly interested in Machine Learning, Optimization and Data Visualization. Even though I've worked with High-level programming languages, my favourite programming languages are R, Python and MATLAB. Lately I got particularly interested in the power of interactive visualisation tools like shiny and D3.js, such that I'm getting more and more involved in JavaScript, CSS and HTML5. My recent projects include:

  • caretInterface - Graphical user interface for model selection using caret.
  • PowerSimulation - Statistical power simulation for a non binomial generalized linear models.

See all my projects and source code on GitHub.

Curriculum Vitae:
The Classic Version

It is available in HTML and PDF format.

Contact Me

Feel free to email me!

jens.hooge@gmail.com