Ninon Lizé Masclef Email & Phone Number
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Ninon Lizé Masclef is listed as AI + Neuroscience Researcher & Media Artist | Brain Decoding @ MIT | Top 100 French Inventors 2024 🇫🇷 at MIT Media Lab, based in Cambridge, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Ninon Lizé Masclef.
Ninon Lizé Masclef previously worked as Research Affiliate at Mit Media Lab and AI Resident at Augmentation Lab. Ninon Lizé Masclef holds Fablab Digiscope | Lisn | Upsaclay from Université Paris-Saclay.
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About Ninon Lizé Masclef
Having started in a literary direction, I reoriented myself in computer engineering at the University of Technology of Compiègne. I see computer science as the right medium to understand contemporary human issues, as with the renewal of creativity by generative models. Recently graduated with a Master's degree in Data Mining, I’m seeking challenging opportunities that will allow me to develop technologies that benefit humans. Specific fields of interest include computational neurosciences and brain-computer interfaces.
Listed skills include Esprit Critique, Neural Networks, Art, Chant, and 41 others.
Ninon Lizé Masclef's current company
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Ninon Lizé Masclef work experience
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Ai Resident
Created a garment that embeds biosensors (PPG, GSR) and translates emotional states of the wearer as colorful light, sponsored by OpenBCIMotor Imagery classification
Artist In Residence
Design of 3 brain-computer interfaces : music generation from brainwaves, mask displaying emotional states and dream paintings. Visual object recognition from EEG signal (THINGS-EEG). Creation of a dataset of EEG recordings during sleep (REM stage). Supervised classification of dream content.Quasi real-time generation of 3D costumes in AR, strongly accepted to NeurIPS 2023 Creative AI Track.Presentation of my first author paper « Symbiotic Co-Creation with AI » at ICML 2023 workshop on AI & HCITechnical environment : CATIA, XGenerative Design, MNE-Python, PyTorch, Unicorn Hybrid Black, OpenVibe, VQGAN-CLIP
Research Scientist
Emotion recognition and personality traits inference from EEG, ECG and EDA signal. Experiment design on affective ratings of EEG based Music Recommender Systems. Technical environment : Neurokit2, OpenBCI, BITalino
Teaching Assistant
8-week course ”Digital Fabrication” with the Master 2 students of the program EIT Digital. Lectures and Practical Classes on Parametric Design.
Research Assistant
Creation of perceptually-grounded metrics to evaluate the state-of-the art automatic lyrics-to-audio alignment models. First author of the paper "User-centered lyrics-to-audio alignment evaluation" accepted to Int. Soc. for Music Information Retrieval Conf. (ISMIR), 2021.Released my proposed evaluation metrics Perceptual-PCO in the mir_eval python library.
Research Intern
Development and deployment of a public karaoke application to run UX studies online. Design of two experiments to investigate the psychological validity of the current evaluation metrics used for the task of lyrics-to-audio alignment. Source separation and musical features extraction: beats, amplitude peaks, tempo and vowel duration.Technical environment : Docker, Kubernetes, FastAPI, Node.js, R
Research Engineer
Mission for the Emotion and Perception Lab of Jagiellonian University. Development of the calibration and validation modules for the Pupil Labs eye-tracker in a VR headset (Vive Pro) and integration of these modules with the PsychoPy library to control the experimental procedures.Technical environment : Python, PsychoPy3, ZeroMQ, Pupil Core, OpenCV, HTC Vive Pro
Big Data Engineer Intern
Data Lake Analytics to enhance Ina STAT publications. Data modeling and datamart conception with Google BigQuery.Creation of transmedia indicators for the analysis of audiovisual programs.The dataset consisted of the metadata of all the french televisual archives since 1950.Design and full stack development of the REST API "Baromètre+" to automate and visualize reports in a dashboard. Complete a study on the media coverage of Charlie Hebdo, published in InaGlobal.Dimensional modeling, Business Intelligence, DataVizTechnical environment : PostgreSQL, BigQuery, D3.js, Gephi, Symfony
Project Manager - Value Analysis Consultant
Mission for the Institute of Research and Innovation (IRI, Centre Pompidou).Analysis of "Plaine Commune, Contributing Learning Territory", a transformation project of a territory of 400,000 inhabitants, in collaboration with the philosopher Bernard Stiegler. Digital Transformation, Contributive Economy, SmartcitiesProject Manager of a team of 6 engineering studentsFunctional Analysis, Design Methodology
Artist And Media Relations Coordinator
Achieving partnerships and visibility exchangeAccreditation Management1,000 spectators
Ninon Lizé Masclef education
Fablab Digiscope | Lisn | Upsaclay
Master'S Degree, Computer Engineering
Bachelor'S Degree, Humanities And Technology
Literary Baccalaureate, Fine Arts Main Specialization, Art/Art Studies, General
Niveau 2C3, Baccalauréat Option Musique
Education record
Education record
Frequently asked questions about Ninon Lizé Masclef
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What company does Ninon Lizé Masclef work for?
Ninon Lizé Masclef works for MIT Media Lab.
What is Ninon Lizé Masclef's role at MIT Media Lab?
Ninon Lizé Masclef is listed as AI + Neuroscience Researcher & Media Artist | Brain Decoding @ MIT | Top 100 French Inventors 2024 🇫🇷 at MIT Media Lab.
Where is Ninon Lizé Masclef based?
Ninon Lizé Masclef is based in Cambridge, Massachusetts, United States while working with MIT Media Lab.
What companies has Ninon Lizé Masclef worked for?
Ninon Lizé Masclef has worked for Mit Media Lab, Augmentation Lab, Dassault Systèmes, Ontbo, and Fablab Upsaclay.
How can I contact Ninon Lizé Masclef?
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What schools did Ninon Lizé Masclef attend?
Ninon Lizé Masclef holds Fablab Digiscope | Lisn | Upsaclay from Université Paris-Saclay.
What skills is Ninon Lizé Masclef known for?
Ninon Lizé Masclef is listed with skills including Esprit Critique, Neural Networks, Art, Chant, Data Science, Data Engineering, Digital Transformation, and C.
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