Dr. Alexandre Borrel

Alexandre Borrel (Ph. D.)

ORCID: 0000-0001-6499-4540

email: a.borrel[at]gmail.com

Link to ChemMaps (v.2)

My current work is focused on analyzing gene expression changes in breast cancer cells and breast organoids in response to chemical treatments in order to discern chemically-induced biological effects, and to adapt the technology for chemical safety evaluation. I am also developing approaches for using chemical structure and bioactivity to predict toxicity and carcinogenicity, and to identify closely-related chemicals that may share toxicity characteristics. One of the goals is to apply these approaches to streamline risk evaluation for per- and polyfluoroalkyl substances (PFAS) and organohalogen flame retardants.

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.

Research skills:

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.

Computational skills:

Programming/scripting languages: Python/R/Ruby on rails/C.

Web languages: HTML/CSS, JavaScript (including Three.js library), Python-Django.

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.

My resume