I'm Michal, a data and open-source enthusiast with a background in statistics. I pursued my academic interests at the University of Vienna and Duke University, where I explored statistical analysis and programming.

In my free time, I engage in both independent open-source software development, working on my own projects, and collaborative contributions to existing projects. Notably, I contribute to projects such as oHMMed within the field of population genetics and AIRSHIP which focuses on visualizing simulation results in clinical trials.

I'm dedicated to open source, driven by the belief in the benefits of collaborative development, transparent sharing of knowledge in the software community, and the personal growth that comes with it.

One of the interesting aspects of my journey has been the growing popularity of the naivebayes R package I developed, reaching over 300K downloads and being used in the actual high quality scientific research. It's rewarding to see it becoming a valuable tool in the R community - particularly for those diving into machine learning - as well as in the scientific community.

I am actively engaged in the development of easyPlot, an intuitive graphical user interface (GUI) meticulously designed for ggplot2. easyPlot serves as a powerful tool, allowing users to effortlessly create four fundamental types of graphs — scatterplots, histograms, boxplots, and bar charts — with just a few clicks.