I am part of the CoML (Cognitive Machine Learning) team at the Laboratoire de Sciences Cognitives et Psycholinguistique (LSCP), in the Cognitive Science Department (DEC) of the Ecole Normale Supérieure. I am also affiliated to the Laboratoire de Linguistique Formelle (LLF) at the Université de Paris.
Previously, I graduated from the University of Edinburgh with an MSc in Speech and Language Processing, and from City, University of London with a BSc in Psychology. I also worked as a speech recognition engineer, focusing on acoustic modelling, prior to starting my PhD.
My research focuses on bilingual language acquisition, from a reverse engineering perspective. Briefly, it consists in constructing unsupervised models of cognitive behaviours, using the same input available to humans, as a way to draw hypothesis on the actual cognitive processes at stake. More information on this approach is described on the CoML team’s website.
I am a strong advocate for the importance of tying links between the Machine Learning and Psychology communities, as I believe both benefits from getting insights from the other.
I am also currently a part of the committee for the 2021 Zero Resource Speech challenge, which focuses on evaluating unsupervised speech representation models. Check it out!