Current offer of R courses and bioinformatics workshops

R is the basic programming language in bioinformatics and statistics. Knowledge of R is associated with both prestige and the highest analytical competence. We use R in our daily work and are happy to share our experience and skills.

If you are interested in a given course, register and we will contact you to arrange a convenient date.

Our offer is tailored to all who want to expand their competence in the field of broadly understood data analysis, statistics and machine learning, as well as the scope of specialized analysis of metabolomic, proteomic and transcriptomic data. Our lecturers are R practitioners with impressive scientific and training achievements, working on a daily basis in big data and supercomputing. The courses include elements of statistical analysis and visualization used in scientific publications. We also organize specialist R training courses for universities, research and development units as well as individual courses. We are also the official partner of Adam Mickiewicz University in Poznan, co-organizing the 13th edition of the Poznan Summer School of Bioinformatics. As a company, we also take part in scientific research culminating in publications. Our clients include over 40 universities and institutes, as well as laboratories and private companies.

Workshop calendar



Tomasz Górecki, Ph.D.

Professor at the Department of Mathematical Statistics and Data Analysis at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań, Vice-Dean for grants and cooperation with business at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań. His scientific interests include time series analysis, functional data analysis and artificial intelligence. He also deals with applications of statistical methods and machine learning in practical problems. He has been teaching probability calculus, statistics, machine learning, and artificial intelligence for over twenty years. He cooperates with many companies in the field of machine learning and artificial intelligence (Lidl, OLX, PWN, Samsung, Smartstock). He has been using R language for many years (he is a co-author of two R packages and an author of a book on R language). He cooperates with employees of Colorado State University, University of Utah, Poznan University of Technology, Poznan University of Economics and Poznan University of Life Sciences.


Anna Piasecka, Ph.D.

Assistant professor at the Institute of Bioorganic Chemistry of the Polish Academy of Sciences in Poznań. Author of numerous scientific publications, head and investigator of many research projects. Experienced trainer. Expert and practitioner in the field of mass spectrometry and bioinformatic processing of metabolomics data with 14 years of experience. One of the best European specialists in the field of metabolomics. She completed an internship in Göttingen. Cooperate, among others with the Jagiellonian University, Warsaw University of Life Sciences, The Leibniz Institute of Plant Genetics and Crop Plant Research, Max Planck Institute for Plant Breeding Research.

Arkadiusz Kajdasz, Ph.D.

Works in the Institute of Bioorganic Chemistry of the Polish Academy of Sciences, Poznań. He gained teaching experience working with students at the A. Mickiewicz University, Poznań. Interested in the metabolism and post-transcriptional modifications of RNA. Practitioner in the analysis of RNA-Seq data. He participated in many bioinformatics courses organized in Poland and abroad (e.g., in Ontario Institute for Cancer Research, Toronto, Canada). He collaborates with the Poznań University of Life Sciences and the Military Institute of Medicine in Warsaw.

Diego Castillo Franco, Ph.D.

Works at Institute of Zoology of Jagiellonian University, Krakow. Experienced microbiologist and microbial ecologist with a strong background in bioinformatics (amplicon sequencing analysis, third-generation sequencing, metagenomics, metagenome assembled genomes). Research experience includes Antarctic microbiology, Amazon Rainforest, Hydropower reservoirs, the human microbiome, host-microbe interactions, genomic and metagenomic studies from prokaryotic communities, and metabolic inference analysis from different environments applying statistical approaches. Currently collaborates with Ghent University (Belgium), University of Sao Paulo (Brazil), and Woods Hole Oceanographic Institution (USA).