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A Neuroscientist by training with a great interest in and fascination for data analysis methods, software development, and technology in general. Currently a doctoral (PhD) candidate working on sound processing in the human brain. More specifically, investigating how the brain separates sounds in an environment where multiple sounds are presented simultaneously. In my research I make use of ultra-high field functional Magnetic Resonance Imaging at 7 Tesla combined with advanced data analysis techniques such as machine learning and Bayesian inference. For more details see About Me.


Why Brains

Brains are fascinating in many ways, but they are much more than fantastically efficient processing units. Developing an understanding of how brains function will likely increase our understanding of many other processes. One of the main obstacles to understanding the brain is, for the time being, very much philosophical: can the being itself understand how its self operates? Probably the gateway towards resolving the brain's puzzle is through the development of artificial intelligence which is capable of surpassing our levels of understanding and projecting their insights into dimensions humans can grasp ...

Developing Towards Neuro-Inspired Algorithms
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Software is an inherent part of most people's life, which is no different in the greater part of scientific disciplines. Without software combined with scientific minds and computational power, virtually no scientific applications could have been developed. Employing data analysis methods does not merely require computational strength, it strongly calls for appropriately-built software. The development of scientific software is not about producing large chunks of code which merely work and others can somehow employ, it needs reliable, stable, and fast code that is properly developed and provides rigorous data checks and error handling. When (scientific) analysis methods progress, they can be less and less grasped by those who work at more applied levels, hence the need for good software architectures increases further. One of my interests lies exactly there, developing software and analysis methods which help others excel in their scientific/professional environment by being able to focus on tasks other than (re-)writing code themselves for processes which can very well be automated.

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