I’m a PhD student in Genomic Medicine and Statistics at the Wellcome Centre for Human Genetics, University of Oxford. I am supervised by David Church and David Wedge.
I’m intrested in tumor heterogeneity, cancer genomics and epigenetics. You can read more about my DPhil project here. Briefly, I am investigating the role of chromatin organisation in endometrial cancer. In my research I rely heavily on statistical machine learning.
I like data viz and I believe that a (good) figure is worth more than a 1,000 words. In my free time I tend to look at various data trying to make sense of it. I describe some of my projects, for example exploration of COVID-19 mortlity figures, in the posts on this website.
I am a President of the #NGSchool Society. We are a group of computational biologists based all over Europe and beyond - our aim is promote and support science, with emphasis on bioinformatics. Last year, as a project coordinator I led the organisation of machine learning focused edition of our flagship event: #NGSchool2019: Machine Learning in Biomedicine - Autumn School in Bioinformatics. We recorder some of the lectures and made all materials publicly available on our website. This year, due to COVID-19 pandemic we organised a series of virtual meetings, while the in-person events are postponed until next year. You can find more about our projects here or on our website.
Before coming to Oxford I worked as a research assistant in the Zebrafish Developmental Genomics group at the International Institute of Molecular and Cell Biology in Warsaw, and in Ratan group at the University of Virginia. I studied for BScEng and MSc in Biotechnology at the Warsaw University of Technology in Poland.
PhD in Genomic Medicine and Statistics, 2022
University of Oxford
MSc in Biotechnology, 2018
Warsaw University of Technology
BScEng in Biotechnology, 2014
Warsaw University of Technology