Data Champions Search

Boas studied Biochemistry at the Heinrich-Heine University Düsseldorf and Biology at Bielefeld University. His bachelor thesis is about the flavonoid biosynthesis in sugar beet. From 2014 to 2019, Boas participated in the synthetic biology competition iGEM in various roles. While completing the Master of Science program Genome-based Systems Biology, he shifted from molecular biology to bioinformatics and genomics. His doctoral thesis is about comparative analysis of different Arabidopsis thaliana genomes. Boas also investigated non-canonical splice sites in the genome sequences of numerous plant species. Parts of this research were performed during a visit in the Brockington group. In 2019, Boas received his doctoral degree from the Faculty of Biology at Bielefeld University. He was a member of the Computational Methods for the Analysis of the Diversity and Dynamics of Genomes (DiDy) graduate school and completed PhD programs in Biology and Bioinformatics.
 

Boas conducted many ONT long read sequencing and plant genome assembly projects at the Genetics and Genomics of Plants group (Center for Biotechnology, Bielefeld University) and at the Department of Molecular Genetics and Physiology of Plants (Ruhr-University Bochum). Since 2020, he is working as a postdoctoral fellow on the evolution of the betalain biosynthesis supported by a DFG fellowship.
 

I am a Neuroscience PhD student interested in big data and creating/sharing reproducible pipelines for data analysis. I would like to contribute to a culture of sharing code and spreading awareness of the importance of these topics. 

I am a PhD candidate in the Department of Theoretical and Applied Linguistics at the University of Cambridge and a Research Psychologist registered with the Health Professions Council of South Africa. I sit on the Executive Committee of the Division for Research and Methodology of the Psychological Society of South Africa and I am the Assistant Editor for the Journal of Open Humanities Data. I am interested in understanding language and interaction from social, cognitive and psychological perspectives, as well as applying, developing and evaluating psychometric assessments.

Qi received her PhD at the University of California, Los Angeles, where she developed computational methods to study alternative splicing and the evolution of HIV. Later she joined the UCLA Division of Dermatology to help identify the resistance mechanisms of targeted cancer therapies using computational tools. 
    
In 2011 she was awarded the Humboldt Research Fellowship to work in the Division of Theoretical Bioinformatics, and later the Division of Applied Bioinformatics, at the German Cancer Research Centre. There she worked on diverse bioinformatics projects with NGS data, such as studying genome-wide epigenetic regulation of cell differentiation, developing sequencing protocols and detecting somatic mutations from whole-genome sequencing data, as well as data integration and predictive modelling. 
    
Currently, she provides bioinformatics training and support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover.