Statistical analysis in R
Build practical foundations in R and RStudio, statistical testing, and data visualization through guided exercises.
SMM Autumn School 2026
Statistics, AI, Genomics, and Scientific Writing and Publishing
Three intensive days devoted to turning complex biomedical data into reliable scientific evidence.
SMM students do not need to register and can attend the workshops free of charge.
01 / About the school
The Doctoral School of Molecular Medicine and the Institute of Computer Science, Polish Academy of Sciences, invite researchers, doctoral candidates, and professionals working in molecular medicine, bioinformatics, and related fields to a three-day program of intensive lectures and hands-on workshops.
The program covers statistical reasoning, data analysis in R, experimental design, predictive modeling, artificial intelligence, scientific writing and publishing, modern genomics, and single-cell data analysis. Participants will work with experienced researchers and practitioners, combining methodological foundations with practical exercises and real-world research examples.
02 / Hands-on learning
Select your track during registration
Build practical foundations in R and RStudio, statistical testing, and data visualization through guided exercises.
Work with single-cell multi-omic cancer data in an intensive, hands-on analysis track.
Bring your laptop for practical or computer-based sessions. A free ChatGPT account is also required for the session on AI for statistical analysis and scientific writing. See the schedule for individual session requirements.
03 / Take part
PLN 1,680 participation fee
Places are limited. To register or request further information, contact Michał J. Dąbrowski.
04 / Plan your visit
The announcement, schedule, faculty,
and detailed session descriptions.
Essential information, participation details, and contact information.
The three-day agenda, session times, instructors, and practical requirements.
Get to know the researchers and practitioners leading the lectures and workshops.
Explore the topics, learning objectives, and activities in each session.
05 / Location
November 25–27, 2026
Three days. One shared curiosity.
Supporting the school


