Tatsiana is a data scientist with current focus on functional genomics (gene expression), but with diverse experience in several fields. Her undergrad studies were in Applied Mathematics and Informatics, specializing in Theory of Probabilities and Mathematical Statistics. She has MSc in Industrial Logistics (production optimization, routing, simulations) and a PhD in Molecular Oncology (applied bioinformatics group).
As bioinformatics scientist she worked in the fields of oncology and neuroscience. Her PhD was focused on analysis of gene expression and clinical data in patients with acute lymphoblastic leukemia during treatment, investigating mechanisms of resistance. As a post-doc she spent few years at Massachusetts General Hospital and Harvard Medical School working with RNA-Seq data from patients and cell lines, where the team was able to uncover a potential molecular mechanism of X-linked Dystonia-Parkinsonism (Aneichyk et al., Cell, 2018). Since 2019 she works as a freelance data scientist working with academic groups and biomedical companies.
Guillaume is a bioinformatician with experience in cancer genomics, immunogenetics, plant genomics and fungus population genomics. He has a university technical degree in computer science, a BSc in biological science and a MSc in genetics. Specialized in NGS data analysis, he has an extensive background in pipeline development.
During the last 2 years he focused on immuno-oncology, analyzing transcriptomics datasets to study the clinical response to immunotherapy by checkpoint inhibitors. Passionate about knowledge transmission, he has been teaching on several bioinformatics seminars and is very committed to efficient communication around his work.
Catherine is a highly motivated bioinformatician with more than twelve years’ experience of working in UK and German research institutions, honing programming, analytical and statistical skills. She studied Biological Sciences at the University of Birmingham, followed by a Masters in Bioinformatics at
the University of Manchester. Her PhD work was carried out in Professor Sir Tom Blundell’s Biocomputing group at the University of Cambridge, where she sought to identify the molecular mechanisms underlying protein malfunction and disease by developing a program and web server for predicting protein damaging mutations. Since then she has worked in a number of world-class institutes in Germany including the Max Planck Institute for Molecular Genetics and the Max Delbruck Center for Molecular Medicine, focusing on oncology and cardiovascular research respectively.
Catherine has a comprehensive understanding of biological data encompassing structural bioinformatics, genomics, transcriptomics and systems biology. She has a strong publication record with ten first-author and more than 20 co-author scientific papers in international, peer-reviewed journals including Cell, PNAS, Nature Genetics and Nucleic Acids Research. Since July 2020, Catherine works as a freelance bioinformatics consultant.
Gregor Sturm is a PhD student at the Institute of Computational Biology at the Medical University of Innsbruck. His current research focuses on leveraging single-cell multi-omics data to study cell-to-cell communication in cancer and chronic inflammatory diseases.
Before, he obtained a Bachelor's and Master's degree from the joint Bioinformatics programme of University of Munich and Technical University of Munich. He has more than 10 years of coding experience, is a seasoned software developer and data scientist and is strongly committed to fully reproducible research.
Dieudonné is a Data Scientist with a history of research and publication in top journals. He has performed large-scale data analysis using various machine learning methods for answering biological questions in collaboration with other scientists.
He has a BSc in Applied Physics, MSc in Information Technology and Physics, and a PhD in Bioinformatics.
During his PhD studies, he worked in the field of Systems Immunology. His PhD involved different techniques to analyze various datasets (omics and single-cell data) to reveal new insights into mechanisms of human immunity of relevance to environmental exposures. For example, he assessed the repertoire of maternal antibodies in newborn children and found that it targets about 5-10 different viruses (C. Pou and D. Nkulikiyimfura et al, Nature Medicine, 2019). Dieudonné is interested in designing experiments, A/B testing, reproducibility, and building explainable models to reveal new insights of relevance to a question at hand.
Alvaro has a diploma in Engineering Physics and a Master's degree in Medical Imaging Physics. He has worked as Senior Software Engineer in several projects related to last-generation medical imaging devices, image analysis and scientific visualization. Alvaro has vast experience in computer graphics, volume rendering, cloud computing and software architecture. He has participated as a core developer in several high impact open-source scientific libraries such as VTK, ITK and ParaView.
He has also been part of various successful startup companies and currently works as a Principal Engineer at SmartReporting GmbH.