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 explore chemical hazards. As a consultant, I bring expertise in data science, biology and toxicology to scientists and industry.
Disciplines: Data Science, Bioinformatics/Biostatistics, Toxicology, Biology, Computational Biology, Endocrinology, Neuroscience, Chemo-informatics.
Expertise Keywords: Multiomics, Endocrine Disruption, In Silico methods, Adverse outcome pathways (AOPs), scRNAseq, Transcriptomics, Metabolimics/Lipidomics, HPC, Git, Shiny, Machine Learning, Linux, Bash.
