courbe en fond

Students and postdocs

Main Research Activities

PhD in machine learning applied to material discovery for IoT sensor batteries supervised by Prof. A. Franco (LRCS, Amiens), Prof. R. Palacin (ICMAB, Barcelona), Prof. C. Grey (University of Cambridge).

Academic Training

Double degree MSc (Università degli Studi di Padova, Justus Liebig Universität Giessen; Prof. Durante, Prof. Janek)

Professional skills

Material characterisation: XPS, XRD, SEM, EDS.
Electrochemistry: Cell galvanostatic cycling, PEIS, CV.
Inorganic materials synthesis: Solid state synthesis.
Organic synthesis: (On-surface) Synthesis of (cyclo)para-phenylenes.
Organic characterisation: NMR, FT-IR, GC, MS, UV-Vis.
Programming: Python applied to machine learning models.

Running Projects

PhD funded by ALISTORE until November 2024.