I’m an Assistant Professor in the Microbiology Cluster at the University of Amsterdam. I am mostly interested in how micro-organisms evolve, and how their environment, shaped by other organisms, affect their evolutionary paths. Thereby I focus on metabolism and antibiotic resistance evolution. My PhD research at the Systemsbiology Department of the VU was focussed on explaining metabolic strategies from their evolutionary optimality, and developing mathematical tools to tackle complex metabolic networks. Afterwards, I focussed more on species interactions in a Postdoc at the Centre for Ecological and Evolutionary Synthesis in Oslo and at the Origins Centre. Recently, I have been looking into evolution in the infant gut microbiome, and therefore I am getting acquainted with metagenomics analyses.
I’m a Postdoc in Medical Microbiology, Erasmus Medical Center, Rotterdam. My background consists of a PhD in Microbial Physiology and Systems and Synthetic Biology, and a MSc in Bioinformatics in Wageningen University and Research.
For the past three years in Erasmus MC, I have been involved in multiple omics studies including genomics, proteomics, transcriptomics and metagenotyping. My main focus is antimicrobial resistance mechanisms. I study their presence and evolution in prokaryotic genomes, and their expression and translation in the phenotype. I also perform outbreak management and research regarding epidemiological species. Recently, NGS (Illumina and Nanopore platform) was introduced for diagnostic purposes, which I contribute in the supervision and implementation.
I’m an Assistant professor in the Integrative Bioinformatics group at the Vrije Universiteit Amsterdam. Previously, I did my PhD in the Systems Biology group of Bas Teusink and Frank Bruggeman, after which I did a postdoc in the Computational Cancer Biology group of Lodewyk Wessels at the Netherlands Cancer Institute.
My research focuses on computational approaches to understand signal transduction networks and the role they play in cancer, and I’m particularly excited about the possibilities of novel single cell technologies. By using a combination of statistical and mechanistic modeling approaches, we aim to bridge the gap between “top down” bioinformatics and “bottom up” systems biology.
Hi! I’m Li-Ting, a PhD student in the group of Jeroen de Ridder at University Medical Center Utrecht. I am interested in bringing scientific advance to clinical application. Currently I am working on using deep learning to identify epigenetic of tumor derived cell-free DNA as a liquid biopsy measure for cancer treatment selection. I am also interested in Nanopore sequencing and it’s application in diagnostics.