CV
Education:
2019 - 2022. Thesis: “Mechanistic Analysis and Machine Learning” in the Methods and Mechanims team under the supervision of Dr. Laurence Grimaud. |
2019. Master of Physical and Theoretical Chemistry, highest honors Sorbonne Université, Paris |
2017. Admission to Agrégation de Chimie : high-level competitive examination for future chemistry teachers for high school and preparatory classes (rank : 8/240) |
2014 - 2015. Chemistry and Physics at Ecole Normale Supérieure (Bachelor in Chemistry and Physics and first year of Master in Chemistry, highest honors), Paris |
Research Experiences:
2020 - Implementation of a scoring function for the synthetisability of drug-like molecules at Aqemia under the supervision of Dr. Maximilien Levesque. |
2018 - Synthesis and characterisation of divalent lanthanides dimers and sandwich single-molecule magnets, LCM, Ecole Polytechnique under the supervision of Dr. Mathieu Xémard and Dr. Gregory Nocton. |
2016 - Analysis of the inverse trans influence on 1H NMR hydride shifts in pseudo-octahedral U(VI) complexes with relativistic DFT, TU-Berlin, under the supervision of Dr. Anja H. Greif and Pr. Martin Kaupp. |
Skills
Languages | ||
- French (native) | ||
- English |
Experimental Chemistry | ||
- NMR, EPR, UV-Vis, IR, XRD | ||
- Inert atmosphere synthesis: glovebox and schlenk line techniques | ||
- Electrochemistry: Stationnary (RED, UME techniques) and Non Stationnary Voltammetry (CV, SWV, dPV, Chronamperometry) for analysis and mechanistic studies |
Computational Chemistry | ||
- DFT/TD-DFT (Gaussian, Orca and ADF) | ||
- Machine learning basic: Sklearn, github | ||
- Cheminformatics: Rdkit toolkit, Openbabel |
Software | ||
- Unix | ||
- Programming in Python |
Supervision | ||
- Bachelor student week to month internships (electrochemistry and inorganic synthesis) - several students | ||
- Master student semester internships (python, machine learning for chemistry, dft and experimental mechanistic studies) - 4 students |