Welcome, Bienvenue !

I am a Machine Learning Researcher in Apple's MLR team, and I am based in Copenhagen, Denmark.

I recently completed a PhD in Machine Learning and Cognitive Science at the Ecole Normale Supérieure, under the supervision of Emmanuel Dupoux and Guillaume Wisniewski. I was also an intern at Meta as an AI Research Scientist Intern, in the Paris office.

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 (see my full CV here).

Research Interests

My recent research focused 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 hypotheses 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!

Latest news

• 22/04/2025 - [🧑‍🏫 TUTORIAL]    I will be presenting, along with Emmanuel Dupoux and Okko Räsänen, a tutorial at Interspeech 2025 on the topic : Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. Looking forward to seeing many of you!

• 21/04/2025 - [📄 PAPER]   Our paper with Ansgar Endress, entitled "The specificity of sequential statistical learning: Statistical learning accumulates predictive information from unstructured input but is dissociable from (declarative) memory for words", was just released in Cognition. It features some of my very early work as an psychology undergraduate about 10 years ago, nice to see it out!

• 06/01/2025 - [📄 PAPER]   New paper out in Developmental Science :  Simulating Early Phonetic and Word Learning Without Linguistic Categories. This work, which is a significant part of both Marvin Lavechin and my PhD research, looks at simulating early language acquisition with SSL speech models, with a cognitive perspective. 

• 12/10/2024 - [🌎 TRAVEL]    I am heading to EMNLP 2024 in Miami to present our EmphAssess benchmark. Reach out if you want to connect!

• 26/08/2024 - [ 💼 WORK]    I started a new position in Apple Machine Learning Research team as a Machine Learning Researcher.

• 15/08/2024 - [📖 THESIS]    My PhD thesis is now available online.

• 13/01/2024 - [📄 PAPER]    We just released EmphAssess, a result of my work at Meta, which is a benchmark aimed at assessing emphasis in speech-to-speech models. The related preprint is available in ArXiv.