Computer scientist, bioinformatician, future statistician.
simon.dirmeier @ web.de
I am a doctoral student in Computational Biology at the
My work revolves mainly around developing novel probabilistic graphical models for the analysis of large-scale genetic perturbation screens.
Apart from that, I have expertise and am broadly interested in machine learning, (nonparametric) Bayesian statistics, causal inference and probabilistic programming.
I am literate in multiple programming languages, have experience with many machine learning and statistical libraries, and spend a lot of my free time contributing to OSS projects.
Before doing a PhD, I've studied Bioinformatics (M. Sc. and B. Sc.) at TU Munich and LMU Munich, primarily focusing on graph theory and algorithmics.
In my free time I play the guitar, like reading philosophy and work on extending my Jazz collection!
Click here to send me a mail.
Some notebooks and notes on statistics, computer science and philosophy, and some projects I've been working on (R/Python/C++).