Bike Power Pacer
Precision GPX analysis and physics-based engine for power-focused cyclists. Turn raw race data into your competitive advantage.
I am Maxime, a Bioinformatics scientist specializing in the development of statistical tools and workflows for the analysis of omics data. I have extensive experience working with prokaryotic, eukaryotic, and human systems, and I excel at transforming complex biological datasets into scientific results through rigorous approaches and scalable bioinformatics solutions.
After an undergraduate degree in biology, I initially pursued studies in population and environmental sciences. After realizing I wanted to focus more on statistics and data analysis, I returned to complete an M.Sc. in Bioinformatics.
I completed my PhD in the Microbiome Sciences research group at the MPI-EVA, studying ancient DNA metagenomics, and continued this work as a postdoctoral researcher at the Leibniz-HKI with a focus on fermentation microbiomes. Recently, I transitioned to computational oncology and cancer research, focusing on personalized cancer vaccine development and the analysis of cancer genomics datasets.