Personal Statement
In 2009, I graduated a Master in Biology focusing on Neuroscience at Pierre and Marie Curie University (Paris). In 2015, I obtained a PhD in Biomedicine at Pompeu Fabra University (Barcelona) under the supervision of Salvador Soto-Faraco. During my PhD, I investigated the role of speaker's hand gestures on speech perception and audio-visual integration. In 2016, I moved to Maastricht University to hold a postdoc position as a Marie Skłodowska-Curie fellow under the supervision of Sonja Kotz. My project addressed how listeners naturally map rhythmic visual and auditory prosodies during speech perception. Later in 2018, I joined Simon Hanslmayr's team at the University of Birmingham (UK) after being awarded a Sir Henry Wellcome postdoctoral fellowship to study the role of audio-visual synchrony on theta rhythms during speech perception and memory. In July 2021, I joined the University of Liverpool to establish as an independent researcher.

Research Overview
Speech memories are like the internal movies of our lives, allowing us to replay conversations we had with friends or to anticipate future responses from colleagues. Unlike movies however, it is unclear how the brain merges information from the senses and forms new memories during speech encoding. This is the question that I am committed to answer in my personal line of research.

I aim to understand how the tight synchrony between visual and auditory information predicts multisensory perception and the formation of rich speech memories, with a main focus on the role of rhythmic brain activities called "neural oscillations".

I combine the presentation of short movie clips with a broad range of electrophysiology techniques in order to establish how rhythmic neuron activities across the brain networks contribute to produce multisensory speech sensation and encode a new trace in memory. Among such techniques, I use electro- and magnetoencephalography (EEG/MEG) with healthy volunteers, as well as intracranial EEG (iEEG) recordings with epilepsy patients. I also develope computational models integrating my empirical findings to predict neural responses during multisensory speech perception.