 I am a cognitive neuroscientist currently working at Facebook A.I. Research to study the neural and computational bases of human intelligence. During the course of my PhD, with Prof. Lionel Naccache (ICM) & Stanislas Dehaene (Neurospin) I worked on automatically diagnosing the state of consciousness of post-comatose patients from EEG recordings. I later pursued my research onto identifying the neural and computational architecture underlying conscious and unconscious visual processes in healthy subjects. Finally, I did my postdoc at New York University and FIAS with Lucia Melloni and David Poeppel, thanks to the H2020's Marie Curie global fellowships program. I now apply these neuroimaging and modeling techniques to identify the neural and computational bases of human reasoning. In my spare time, I am also a core developer of MNE, an open-source library in Python to analyze time-resolved neural signals. Latest news Job I am joining the LSP as a CNRS resarch scientist. Job I am joining FAIR Paris as a research scientist. Talk August 2018: Laura Gwilliams will be presenting our latest work on the neural bases of perceptual decision at Biomag, Philadelphia, USA. Talk July 2018: I will be presenting our forthcoming chapter on Encoding and Decoding Methods in Neuroscience at the Summer Institute in Cognitive Neuroscience, Lake Tahoe, USA Job I have been offered a research scientist position at the French CNRS. Talk July 2018: I will be presenting our latest work entitled: 'The human brain encodes a chronicle of visual events at each instant of time' at NYU, New York, USA. Talk July 2018: I will be leading the decoding tutorial with A. Gramfort at CuttingEEG, Paris, France Talk May 2018: I will be presenting our latest work on 'Identifying the Computational Architecture of Human Cognition in light of Normative, Shallow and Deep Modeling of Cortical Responses' at the 'Interdisciplinary Approaches to the Language Sciences' Conference, Nijmegen, Netherlands. Code March 2018:
 0.16 is released. Talk April 2018: I will be presenting our latest work on 'Decoding the representation, selection and maintenance of sensory information along the cortical hierarchy' at Centre Turing, Centuri, Marseille, France Talk March 25th, 2018: Decoding the hierarchical architecture of perceptual decision making, at CNS, Boston, USA Talk December 15th, 2017: Decoding the hierarchical architecture of perceptual decision making, at NVP, Netherlands Poster December 8th, 2017: Performance-optimized hierarchical models only partially predict neural responses during perceptual decision making, NIPS, workshop on Cognitively Informed AI, Long Beach USA. Talk November 29th, 2017: Unifying the neural and computational architectures of perceptual decision making, at Harvard, Boston USA. Talk November 18th, 2017: Unifying the neural and computational architectures of perceptual decision making, at Montreal A.I. meets neuroscience, Canada Talk November 16th, 2017: I will be chairing our workshop on metacognition with Martijn Wokke & Steve Fleming in CUNY, New York, USA Code March 2017: Posters September, 2017: Go checkout our 5 posters at Computational Cognitive Neuroscience, New York, USA Talk August 27-31st, 2017: 'Resolving the temporal dynamics of human visual cognition using multivariate analysis of EEG and MEG data' symposium at ECVP, Berlin, Germany Talk June 13th, 2017: Plenary address: 'Brain mechanisms underlying the brief maintenance of seen and unseen sensory information' at the ASSC21, Beijing, China. Talk June 13-16th 2017: I will be chairing the symposium on 'The timing of conscious perception' at the ASSC21, Beijing, China. Award William James Prize 2017, by Association for the Scientific Study of Consciousness Talk April 13th, 2017: SPiNES Seminar: Identifying the computational architecture of cognitive processes from dense neural time series, NYUMC Talk April 4th 2017: Consciousness: from theory to the clinics, Columbia University, New York. Code March 27th-31st 2017: I am organizing the Supervised Neural Time Series Coding Sprint 2017 at NYU Center for Data Science. Talk March 25th 2017: Speaker at the 'BIG IDEAS in cognitive neuroscience' symposium, CNS, San Diego [video] Code March 2017: Talk March 3rd 2017: The Neural Architecture of Human Cognition, NYU Talk February 18th 2017: Consciousness & Cognitive Access, Aarhus, Denmark Poster November 2016: Decoding MEG and ECoG, at SfN in San Diego Talk November 2016: Towards large-scale analyses of MEG data, NIH in Washington Award October 2016: Biomag 2016 Young Investigator Award. Challenge October 2016: Ranked #1 together with Alex Barachant on the Biomag decoding competition [code] Talk October 2016: Co-chair the symposium "Decoding the Micro- and Macroscopic Dynamics of Neural Activity" with Dr. E. Spaak, at Biomag in Seoul Code September 2016: Grant August 2016: Philippe Foundation award. Poster August 2016: Decoding subliminal maintenance with MEG, at the Annual meeting of Predictive Coding in Dartmouth. Challenge July 2016: Ranked #3 on the Talk June 2016: Decoding of sustained subliminal representations, at HBM in Geneva Code June - August 2016: This year's Award April 2016: Postdoctoral award, CNS, New York. Award December 2015: Prize of PhD thesis, Chancellerie de Paris. Grant August 2015: I am now officially starting my Marie Curie Global Fellowship at NYU and FIAS. Award April 2015: Prize Young Researcher of the Bettencourt-Schueller Foundation. Scientific production
PhD thesis
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