Dr. Alexandre Borrel
Prior to joining Silent Spring in 2020, I worked as a Postdoctoral Fellow at the National Institute of Environmental Health Sciences (NIEHS), where I developed computational pipelines to analyze high-throughput screening data as well as new methods for visualizing assay outputs in relation to chemical structures. I was part of the Key Characteristics group that defined properties of chemicals and other agents that confer potential hazard based on properties of known human carcinogens.
I earned a joint PhD in Bioinformatics and Chemistry from the University of Paris in France and the University of Helsinki in Finland where I developed new methods to statistically characterize the interaction between a chemical and a protein in an organism.
During these past years I developed expertise in the fields of drug discovery and toxicology using bioinformatics and cheminformatics methods.
Computational Chemistry, Cheminformatics, Bioinformatics, Computational toxicology, Biostatistics including Statistical Analysis (supervised and not supervised) and Machine learning, Deep learning, Molecular Modeling, Data Mining and 3D Data Mining, Molecular Dynamics, Augmented Reality, Literature Mining, Systematic Review, Bioassays Analysis, Webserver Development, RNA-Seq, Writing publication.
Programming/scripting languages: Python/R/Ruby on rails/C.
Support programming/server: Git (platform GitHub), Apache2 (server), Docker.
Cheminformatic platforms: ChemAxon suite, Chimera, Pipeline Pilot, Maestro.
Modeling Softwares: Schrödinger suite (Glide, Desmond/GDesmond, pharmacophore), Modeller, GROMACS.
Other Softwares: Google Suite, Gimp, Inkscape, Mendeley, Blender.