About

Hi, I am Daniel Paysan, a PhD student in Computational Biology and Machine Learning at ETH Zurich and the Paul Scherrer Institute. My PhD research focuses on the development of novel machine learning methods to analyze and interpret complex biological and biomedical data. I am passionate about the possibilities that the ever increasing amount of available data coupled with the power of machine learning approaches constitute to transform healthcare to change the live of so many people for the better.

Before my PhD program I obtained a B.Sc. in Information Systems from the Berlin School of Economics and Law and a M.Sc. ETH in Statistics from ETH Zurich. During my studies I was able to gain a lot of experience in software development and importantly industrial and academic machine learning research through various internships at IBM respectively research assistantships at the Institute of Machine Learning at ETH Zurich. Please click here to find a more detailed description of the projects I worked on during these internships and assitantships. The experiences during these different roles further sparked my fascination for AI and its applications to in particular biomedical questions.

After my PhD, I would like to continue to contribute to the development of novel machine learning methods and their successful application to to change people's lives and health.

The best way to contact me is via Email or via a DM on LinkedIn.