Learning
Here I put the courses, summer schools and hackathons where I took part as a participant.
Hackathons
Undiagnosed Hackathon, 2023, 2024
I participated in two Undiagnosed Hackathons in 2023 (Stockholm) and 2024 (Nijmegen). In Nijmegen I, as a part of the team, was able to give one of the undiagnosed patients a diagnosis (series of case report being prepared). Being so impressed by the event, I wrote a blog post on Medium about the first Undiagnosed Hackathon. More official information about the event was published in Nature Genetics.
Solvathons, 2023-2024
I attended one of the Solvathons as a teacher and organiser, but paricipated in three more. We were trying to solve unsolved patients with the help of RNA-seq in Barcelona Spain, long reads and optical genome mapping in Nijmegen Netherlands and again multi-omics (RNA, DNA seq both long and short reads, methylation eRRBS sequencing) again in Barcelona. More details are in this publication.
BioAIHackathon, Warsaw, Poland, 2025
Here I was working on the project of identification of genes responsible for diseases using graph neural network methods. The summary is available on a preprint server.
Online courses
I am a huge proponent of online courses. On Coursera I completed courses Fundamentals of Immunology: Innate Immunity and B-Cell Function (2020), Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines (2019), Computational Molecular Evolution (2013), Introduction to Genetics and Evolution (2013), Statistics for Genomic Data Science (2016), Epigenetic Control of Gene Expression (2013), Machine Learning (2014), Bioinformatics Algorithms Part I (2014). On EdX I got a cerificate for 7.QBWx: Quantitative Biology Workshop (2015).
Summer schools
Summer school in Bioinformatics, Moscow, Russia, 2013
This was the week long event that gave me the first broad overview of bioinformatics as a field. I already got accepted to MSc program in Algorithmic Bioinformatics, but attending this school gave me deep insights in what bioinformatics is as a field.
Research Summer School in Statistical Omics, Split, Croatia, 2015
This was a three week long event with a lot of useful courses and scientific project. For the first time I was exposed to advanced statistical methods in omics data analysis. I, together with two other members of the team, worked on the project of predicting inflammatory bowel disease and Crohn’s disease using RNA-seq data and machine learning methods.
Machine Learning Summer School, London, the UK, 2019
I was accepted to this two week amazing event as a bioinformatician and I was thinking that I understand some machine learning before that school. At the school I realized that what I know is just very old and outdated collection of methods of machine learning, and all the modern developments occur in different directions.