2016: PhD. in bioinformatics and pharmaceutical chemistry, University Paris Diderot - Paris 7 (France) & University of Helsinki (Finland)
Research: Development of Computational Methods to Predict Protein Pocket Druggability and Profile Ligands using Structural Data
2012: Master degree in bioinformatics, University Paris Diderot - Paris 7 (France)
2010: Bachelor degree in biochemistry, University Paris Diderot - Paris 7 (France)
I did not intend to pursue a career in cheminformatics as I originally began in the field of bioinformatics. Where my career has taken me today is the result of meeting and collaborating with interesting people that inspirited me. During my second year at the College of Grenoble, I became interested in chemistry when my quantum chemistry professor, Prof. Andre Grand, showed me a quantum model developed to analyze DNA mutation. His enthusiasm about his research in quantum chemistry inspired a growing passion of my own for studying chemical systems with a computational approach. Then, while studying genomic bioinformatics during my Master's degree I participated as an exchange student with the University of Helsinki. During this internship I joined the lab of Dr. Xhaard. This internship had a significant impact on my career as it inspired me to pursue a Ph. D. in cheminformatics. My Ph. D. work would consist of a joint thesis between the University Paris Diderot and the University of Helsinki (France and Finland) to develop computational and statistical approaches to improve the modeling of molecular recognition. This collaborative effort resulted in the development of different methods to predict protein pocket druggability, the extraction of phosphate local structural replacements, and better modeling of ionic molecular interactions between a ligand and a protein.
During my free time I enjoy meeting with friends and playing the keyboard. The most important advice I can give to aspiring researchers is to always be amazed by your research and experimental results.
"Science may be described as the art of systematic over-simplification"