Dr.Ir. Daniella Kasteel is the project manager of X-omics. She is an experienced project/research manager with a scientific background. Apart from the general project management tasks she is responsible for the marketing and communication of X-omics, organization of events and workshops, the X-omics helpdesk and building a X-omics community.

Leon Mei is the head of Sequencing Analysis Support Core at LUMC. He was also involved in the BBMRI-GoNL project and chaired the data management group in the BBMRI-BIOS project.

Kasper Joeri van der Velde graduated on pathway visualization of kinase activity at the Groningen Bioinformatics Centre in collaboration with the UMC Groningen dept. of Cell Biology, and subsequently worked as scientific programmer on web-based databases, methods and visualization tools for various multi-omics research projects involving plants, mice and nematodes. He then moved to the UMC Groningen dept. of Genetics to complete his PhD on translational software infrastructure for medical genetics in the group of Prof. Morris Swertz, where he is now a Postdoc. Using a unique combination of machine learning and data infrastructure research, he aims to discover new ways to revolutionarize the speed, yield and applications of medical genomics and bring those innovations into clinical practice where they can truly make a difference. In his work, he is a strong advocate of open source programming, open access science, and FAIR (findable, accessible, interoperable, reusable) data.

Lennart F. Johansson graduated as a BASc Life Sciences and Technology on the implementation of comparative genomic hybridization for the purpose of hematological malignancies at the University Medical Center Groningen (UMCG) department of genetics in 2002 and obtained a BA philosopy in 2015. In his thesis he formulated an answer to the question: ‘does new knowledge about existing results give a moral duty to recontact in clinical genetics?’. In 2019 he completed his PhD at the UMCG department of Genetics on the topic ‘Novel algorithms for genetic variation detection’ in which he describes the development of algorithms to be used on different NGS methods for copy number variation calling, translocation calling and NIPT. Next to a general discussion two extra reflection chapters on the epistemology and ethics of NGS finalized his thesis ‘Looking through the noise’. Currently he is a postdoc/project coordinator focusing on rare disease projects, such as EJP-RD, Solve-RD and CINECA, both on the side of infrastructure (HPC Computing, (meta-)databases) as data-analysis.

Dr Kim-Anh Lê Cao develops novel methods, software and tools to interpret big biological data and answer research questions efficiently. Kim-Anh is committed to statistical education to instill best analytical practice. She has taught numerous statistical workshops for biologists and leads collaborative projects in medicine, fundamental biology or microbiology disciplines. Kim-Anh has a mathematical engineering background and graduated with a PhD in Statistics from the Université de Toulouse, France. She then moved to Australia first as a biostatistician consultant at QFAB Bioinformatics, then as a research group leader at the biomedical University of Queensland Diamantina Institute. She currently is Associate Professor in Statistical Genomics at the University of Melbourne. Kim-Anh has secured two consecutive NHMRC fellowships, published more than 90 articles and secured more than 8.5 million in competitive funding. In 2019, she received the Australian Academy of Science’s Moran Medal for her contributions to Applied Statistics, the Georgina Sweet Award for female scientists in quantitative biomedical science that recognize her contribution in multidisciplinary collaborations. She was selected to the international Homeward Bound leadership program for women in STEMM which culminated in a trip to Antarctica.