Maia graduated with an MSc in Genetics from the University of York (United Kingdom) in 2021.  She is interested in understanding the biological mechanisms that underlie genomic instability, with a particular emphasis on DNA repair deficiencies.  Her project focuses on developing novel statistical methods for analysing mutational patterns in cancer genomes.  Some of her hobbies include mixology, baking, gardening, and knitting.  

Marcell, from Hungary, has a solid Mathematics and Computer Science background. He earned a BSc from the University of Aberdeen and an MSc in Modeling for Science and Engineering from the Universitat Autònoma de Barcelona. Passionate about AI and deep learning, he explores cancer genomes at our lab, studying frameshifted peptides and their immunotherapy applications. Outside research, Marcell enjoys learning about math history and participating in board sports. 

Patricia studied biotechnology in Valencia and has finished a Bioinformatics MSc in the Autonomous University of Barcelona (UAB).  For her thesis she joined the GenomeDataLab, where she is modelling the distribution of somatic mutations in cancer genomes. In her free time, Patricia enjoys going on walks in nature, listening to music and making crafts.

Noah, from Michigan USA, completed his BSc at Constructor University (Bremen) and MSc in Computational Biology and Bioinformatics from ETH Zurich, University of Zurich, and University of Basel. Fundamentally, Noah is interested in using computational methods to connect molecular information with cellular phenotype. At the Genome Data Lab, he is working on refining cutting-edge genomic models to capture variant impact on chromatin accessibility and propose non-coding drivers in cancer. Outside research, Noah is a multi-instrumentalist and home-cook.

Irem got her MSc in Bioinformatics from the University of British Columbia in Vancouver, Canada. She is interested in structural variants in cancer genomics. More specifically, she is working on understanding different classes of complex structural variants using machine learning in her project. In her spare time, she enjoys being out in nature, especially hiking and mountaineering.  

Luka holds a MSc degree in Molecular Biology from the University of Belgrade (Serbia), where he specialized in genomics. He is passionate about bioinformatics, genomics, and evolution. His doctoral research focuses on applying machine learning to study copy-number altering somatic variants in cancer and their role in tumor evolution. In his free time, Luka loves painting, playing bass guitar and long walks on the beach.

Christoph received his MSc in Bioinformatics from the University of Hamburg, Germany. His research interests include the repair and detection of DNA adducts as well as genomic alterations in cancer. In his PhD project, he applies deep learning models to study the effects of structural variants on gene regulation in cancer genomes. Outside of the dry lab, Christoph enjoys water sports and literature.