My PhD project, started in October 2021, aims to better understand the PFAS universe using cheminformatics and machine learning. It relies on the creation of an extended PFAS database that includes information on uses, properties, hazard and alternatives for these substances. My research integrates in the zeroPM project funded by EU’s Horizon 2020 programme.
Latest scientific papers
Temporal trends of suspect- and target-per/polyfluoroalkyl substances (PFAS), extractable organic fluorine (EOF) and total fluorine (TF) in pooled serum from first-time mothers in Uppsala, Sweden, 1996-2017