Philippe Pinel Email & Phone Number

Paris, Fr

Paris, Fr

Subject: Docking and machine-learning approaches to explore new scaffolds for molecules of therapeutic interest.- Performed pocket preparation, Docking and protein-ligand interactions detection on various protein families;- Built and published a benchmark for ”Scaffold Hopping” solving strategies;- Applied and designed Machine Learning architectures to better tackle ”Scaffold Hopping” problems in Drug Discovery (Chemogenomics, Graph Neural Networks, Transformers);

Île-De-France, France

Developer in the Statistical Team:- Managed and modernized medical databases (PostGreSQL) ;- Created dashboards to visualize employee risks exposition for both management teams and medical experts ;- Studied and built a model to predict employee risks ;

New York, États-Unis

Computational oncology on myelodysplastic syndromes.I worked on replacing the IPSSR risk calculator for patients with myelodysplastic syndromes:- Clustered patients using their cytogenetic and genetic data with nonparametric Bayesian approach (Hierarchical Dirichlet process) ;- Compared different predictive models for risk prediction ;

London, Royaume-Uni

I worked on the relationship between genomic mutations and mutational signatures:- Studied non coding somatic mutations on transcription factor binding sites and their impact on motifs across several cancer types ;- Extracted new mutational signatures (Non-Negative Matrix Factorisation) ;

Engineer'S Degree, Biotechnology

Studied subjects include: Data Analysis, Computer Science, Large Scale Machine Learning, Statistical models & Decision-making.

Filière Pcsi-Pc*