Tatsiana is a data scientist with diverse experience in several fields from mathematics to molecular biology.
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.
Thomas Van Gurp
Thomas is an experienced bioinformatician with over eleven years’ of experience working as a consultant for plant breeding companies and academic groups. He studied biology at Wageningen University, specializing in epigenetics and bioinformatics. He did his PhD at the Dutch institute of ecology where he invented a new method (epiGBS – Nature Methods) to study population level epigenetic variation in plant species.
Thomas is an expert in deploying, modifying and optimizing sequencing methods (Illumina/Nanopore) and their analysis. He is a proficient at developing process oriented and automated workflows using devops principles using workflow orchestration tools like airflow and snakemake. He is an expert Python programmer, highly experienced in developing (custom) visualization tracks for genome browsers such as Jbrowse and IGV. For the past 5 years, he has gained experience as a group lead of data scientist and bioinformaticians. As a person, Thomas is curious, creative and pragmatic.
Gabriel earned a degree from the Technical University Darmstadt in General Biology. His Ph.D. project in plant pathology at the Max Planck Institute for Terrestrial Microbiology was also the starting point of his bioinformatic journey.
After studying the evolution of effector genes in smut fungi, he joined the University of Zürich as Postdoctoral Researcher. He investigated the evolution of various phenotypes in natural populations of Arabidopsis thaliana.
Since January 2022, he has been working as a freelance Bioinformatics Contract Researcher. He focuses primarily on comparative genomics, transcriptomics, molecular evolution, and genotype-phenotype maps in plants, fungi, and related organisms, both within and between species.
He is also offering tailored training, for example, an introduction to base R or command-line tools for large-scale analyses. He also uses his expertise as the lead author of several papers to produce publication-quality text and illustrations.
Georg is software developer and bioinformatician with more than 15 years of experience. He has an MSc in Computer Science and PhD in Bioinformatics, and worked as a postdoc in computational and experimental labs at the Max Planck Society, University of California, Berkeley, and Lawrence Berkeley National Laboratory.
His focus areas are software development, bioinformatics analyses, databases, and data visualization. He worked with various omics data, single-cell RNA-sequencing, microbial engineering, metabolic networks, biomarker identification, cancer, and plant metabolism. He published 1 book chapter and 17 journal articles (11 as first and 6 as corresponding author), gave presentations at several international conferences, and taught Master's degree courses in computational and systems biology.
He enjoys multi-disciplinary environments and is committed to working thoroughly, reliably and independently. Since 4 years he works remotely for various international companies in the biological or medical field as a contractor.
Andreia is a bioinformatician with extensive experience in population genetics, phylogenetics and cancer genomics. She has a degree in Genetics and Biotechnology and a Master in Technological Comparative Molecular Genetics. She has a PhD in Biomedical Sciences, specialized in Population Genetics and Bioinformatics, where she focused on the analysis of mitochondrial DNA (mtDNA) and genome-wide data to identify human genetic variation in Southeast Asian populations.
She has seven years of postdoctoral experience combining bioinformatics, population genetics and cancer genomics at Portuguese Oncology Institute, where she has implemented a computational cancer genomics research line focusing on the analysis of both high-throughput genomics (targeted-NGS, whole-genome/exome) and transcriptomics data (RNAseq) from cancer patients to help characterize the inherited mutations associated with cancer predisposition, as well as the pattern of somatic genetic alterations that might have implications on tumor progression and therapy response.
In summary, her in-depth experience in bioinformatics resources, large-scale databases (populational and pan-cancer) and data analysis and visualization (Python and R), has rendered 12 co-authorships in peer-reviewed Q1 journals (4 as first author) and several oral and poster communications in international meetings.