David Lopez Rodriguez, PhD

(1) Data Scientist / Bioinformatician / Toxicologist - Lausanne University

(2) Project Coordinator of the 'Pesticide Monitoring' study

(3) Independent consultant

I am multidisciplinary researcher with an expertise in biology, toxicology, computational and environmental sciences. As a researcher my focus lies in creating computational tools allowing to advance scientific knowledge to improve public health and environmental policies. I strive to develop a comprehensive understanding of the risks associated with chemical exposures and gain an understanding on the biological process behind their effects.

As an independent consultant, I offer my expertise in bioinformatics, biostatistics and multiomics to scientists and industries. My skill set encompasses a spectrum of offerings, ranging from multiomics data, to intricate statistical modeling, including the creation of insightful data visualizations and their subsequent interpretation.

Disciplines: Data Science, Bioinformatics/Biostatistics, Toxicology, Endocrinology, Environmental Science, Environmental Epidemiology, Neuroscience.

Expertise Keywords: Bioinformatics, Multiomics, Chemo-informatics, Toxicology, Neuroendocrinology, Environmental Sciences, Endocrine Disruption, Computational Biology, Adverse outcome pathways, Chemical Risk Assessment, Biostatistics, Molecular Biology, Physiology, Reproductive Toxicology.

Current projects

Multi-Omics Evaluation of the Neurotoxicity of Glycol Ether Solvents in Humans Using New Approach Methodologies (NAMs)

Keywords: Brain Spheres, Bioinformatics, In Vitro Methods, Lipidomics, Metabolomics, Proteomics, Transcriptomics, Toxicology, Multiblock.

Pesticide Exposure Assessment of the Swiss Sensitive Population

Keywords: Environmental Contaminants, Pesticides, Toxicology, Exposure Assessment, Bio-samples, Exposure Mixtures, Exposure Sources, Endocrine Disruptors, Risk Assessment, Environmental Science.

A framework for identifying and prioritizing the risk asessment of Endocrine Disrupting Chemicals (EDCs)

Keywords: Endocrine Disruption, Toxicology, In Silico, QSAR, Machine Learning, NAMs, Risk Assessment, Chemo-informatics, Environmental Science, Adverse outcome pathways (AOPs)

Temporal dynamics of the tanycyte connectome according to changes in metabolic state

Keywords: Neurosciences, Energy balance, Bioinformatics, Connectomics, Hypothalamus, Neuroendocrinology

Deciphering the heterogeneity and plasticity of ependymoglial cells during energy imbalance

Keywords: Neurosciences, Energy balance, Bioinformatics, Connectomics, Hypothalamus, Neuroendocrinology