The latest news from The Hyve on Open Source solutions for bioinformatics

Joris Borgdorff

Joris Borgdorff

Joris studied mathematics and computer science at Utrecht University. He did his PhD on distributed multiscale computing at the University of Amsterdam in the Computational Science Lab. His thesis ranges from multiscale modeling methodology to the performance of distributed multiscale simulations; its application ranges from biomedical research to the simulation of fusion plasma physics. It also resulted in the public domain distributed multiscale simulation runtime environment MUSCLE 2. After his PhD, he worked at the Netherlands eScience Centre on traffic and crowd simulation platforms, with a focus on Indian environment. Before his PhD, Joris was a visiting researcher at SACEMA in South Africa to work on an epidemiological model combining HIV and TB disease dynamics. He adapted another model on sexually transmitted diseases so it was simulated with volunteer computing, using BOINC. He is interested in efficient and distributed computing with a societal impact. This involves scientific methods, fast and secure networking software and preparing various data sources for unified analysis and visualisation.

Recent Posts

Lessons learned with RADAR-base

August 13, 2018 | By Joris Borgdorff 0
RADAR-base has over the past years grown into a stable, user-friendly platform. In this blog, we give you an impression of the technical problems our team encountered on the way and how those were overcome.
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Quisper for scientifically accurate food advice

July 20, 2018 | By Joris Borgdorff 0
What is a healthy diet? The claims about good food made by journalists, food bloggers and dieticians are often contradictory. It’s no wonder many people are at a loss what a balanced diet should look like. The Quisper platform wants to unlock the[…]
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Wearables on the radar

February 13, 2017 | By Joris Borgdorff 0
In recent years, the amount of programmable and affordable wearable sensors has increased enormously. Medically-inspired wearable devices such as the Empatica E4 can be read out with any phone. Smart watches can even send fitness data directly. For[…]
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