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

Lecturers

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Tomasz Górecki, Ph.D., D.Sc., Associate Professor

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.

 

Piotr Płuciennik, Ph.D., D.Sc., Associate Professor

Mathematician and economist. Certified academic tutor. His research focuses on computational finance and financial data analysis, while also encompassing the analysis of other types of data, including medical datasets. He is the author of more than 50 scientific publications and has participated in five research projects. He has gained research experience through work at higher education institutions and public sector organizations. He teaches courses in data analysis and computational finance at the bachelor’s, master’s, and doctoral levels. He has supervised more than 150 bachelor’s and master’s theses and provides individual tutoring programs for highly talented students. He delivers training for academic staff and corporate professionals in data analysis using R, Python, MATLAB, and Wolfram Mathematica, as well as specialized software such as Gretl and MedCalc. He has performed computational analyses for both research and corporate projects.

 

Anna Piasecka, Ph.D., D.Sc.

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.

Nuno Sepúlveda, Ph.D., D.Sc.

Assistant Professor with habilitation in Biostatistics from NOVA Medical School (Portugal) teaches at the Faculty of Mathematics & Information Science at the Warsaw University of Technology. Previously, he worked as a research fellow in statistical genetics and genetic epidemiology of Malaria and then as an Assistant Professor of Epidemiology and Biostatistics in the Department of Infection and Immunology (now the Department of Infection Biology), Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine. Nuno has more than 20 years of experience in the field of applied statistics and has more than 150 peer-reviewed publications in journals, such as Nature Genetics, PLoS Genetics, Lancet Infectious Diseases, Lancet Hematology, and Science Translational Medicine. His current research interest is the application of statistical and machine learning techniques to investigate the pathogenesis of Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and long COVID with the special emphasis on genetic, epigenetic and serological data. Currently, he holds a Horizon Europe Widera Grant in a EU-funded project (PvSTATEM) aiming to perform two clinical trials on malaria control in Ethiopia and Madagascar. He is also Associate Editor of Frontiers in Medicine (Infectious Diseases: Pathogenesis and Therapy) and Frontiers in Public Health (Infectious Diseases: Epidemiology and Prevention).

Joanna Swiwek, Ph.D.

Dr Joanna Siwek is a researcher in the Department of Artificial Intelligence at the Faculty of Mathematics and Computer Science of Adam Mickiewicz University in Poznań. Her research focuses on the development of artificial intelligence algorithms, particularly mobile robot swarms equipped with empathic reasoning capabilities. She also investigates applications of fuzzy sets in finance and decision theory.

Dr Siwek is the head of the Computer Science degree programme at the Faculty. Her teaching activities encompass cloud computing, applications of fuzzy sets, the integration of business and economics with computer science, and artificial intelligence in the context of artificial empathy. She collaborates with Poznań University of Technology, Poznań University of Economics and Business, and the Institute of Computer Science and Cognitive Science in Catania, Italy.

Arkadiusz Kajdasz, Ph.D.

Assistant professor at 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.

Łukasz Marczak, Ph.D.

Head of Mass Spectrometry Laboratory at the Institute of Bioorganic Chemistry, Polish Academy of Sciences in Poznan. Author and co-author of over 100 scientific publications, during his 20-year career he has been PI and researcher in numerous projects in the field of mass spectrometry, proteomics and metabolomics. Organizer of many national and international scientific conferences. Experienced trainer and recognized expert in the field of analytics. Former secretary of the Polish Society of Mass Spectrometry and long-time president of the Polish Proteomics Society. He gained experience in Poland and abroad, including a fellowship at the University of Toulouse and an internship at the INRA Institute in Versailles, France. He has collaborated with the University of Life Sciences in Poznań, Poznań University of Technology, Institute of Plant Genetics, Institute of Oncology in Gliwice and University of Pittsburgh.

Diego Castillo Franco, Ph.D.

Microbiologist and Computational Biology Scientist with extensive experience in microbiome research, bioinformatics, and applied biotechnology, now applying this expertise as a Senior Scientist and R&D lead in an industrial biotechnology setting. Skilled in isolation and characterization of microbial strains, development of NGS pipelines, and multi-omics data integration for advancing biological discovery. Currently leads honey bee gut microbiome research and establishes new bioinformatic pipelines. Research experience includes Antarctic microbiology, the 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 Jagiellonian University (Krakow), University of Sao Paulo (Brazil), and Woods Hole Oceanographic Institution (USA).

Marcin Sajek, Ph.D.

Head of the Bioinformatics Laboratory at the Institute of Human Genetics, Polish Academy of Sciences in Poznań. He gained research experience at German institutions (Laboratory of Biochemistry, University of Bayreuth) and in the United States, including the HHMI Laboratory of RNA Molecular Biology at The Rockefeller University in New York and the Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative at the University of Colorado School of Medicine in Denver. His research focuses primarily on epitranscriptomics, epigenetics, and computational RNA biology. He collaborates with institutions such as the University of Colorado, Vanderbilt University, University Medical Center Groningen, and the Institute of Bioorganic Chemistry in Poznań. He is a member of the RNA Society and the Human RNome Project.