As a researcher, I develop computational methods to better understand the risks associated with environmental factors such as nutrition and chemical pollutants. These methods include machine learning models, multiomic & scRNAseq data analysis and the development of interactive tools to visualize chemical hazards and New Approach Methodologies (NAMs), among others.
As a consultant, I bring expertise in data science, biology and toxicology to scientists and industry. With my mixed background I can provide insightful data visualizations and deep interpretations of the underlying biological significance.
Disciplines: Data Science, Bioinformatics/Biostatistics, (eco-)Toxicology, (Neuro-)Endocrinology, Computational Biology, Regulatory Toxicology, Neuroscience.
Expertise Keywords: Multiomics, Chemo-informatics, Endocrine Disruption, Adverse outcome pathways (AOPs), Epidemiology, Molecular Biology, Reproductive Toxicology, scRNAseq, Neuroendocrinology.