Daniel Brink, Phd Email & Phone Number

I am a microbiologist and bioinformatician with a passion for data science and data-driven molecular biology. My goal is to work with projects where I can apply my competences and skills to make a difference for society, such as clinical or industrial applications of molecular biology and biotechnology. I am particularly interested in working with implementing novel methods for generating large scale data - such as lab automation, cell sorting, and omics - and to use machine learning and bioinformatic modelling to analyze the data to make scientific predictions and conclusions. My scientific expertise include biological data science, modelling and analysis of large biological data sets. I have worked extensively with microbial diversity and investigated how changes in genotype can manifest as novel phenotypes. Since microbes does not always make for the most striking pictures, I chose the dahlia flowers in my background picture to represent how genetic variability can lead to a high variability in morphology, i.e. the shapes and looks of the flowers. The methods I use in my research include genomics, transcriptomics, short and long read sequencing (Oxford Nanopore, Illumina NGS), flow cytometry, programming, biostatistics, metabolic engineering of biochemical networks/pathways, and database analysis and -curation. I have a PhD degree in Applied Microbiology from Lund University 2015-2019 and a postdoctoral experience in microbial systems biology from a joint project between Chalmers University and Lund University (2020-2023). I code in Python, R, bash and MySQL and am a strong believer in FAIR data and how it can facilitate and catalyze reproducible science. I love writing and data visualization and I have co-authored 14 scientific publications, one of which awarded with "Editor's choice".