Curriculum vitae
Education
Télécom Paris, Institut Polytechnique de Paris
Paris, France
2021
Ph.D. in Signal, Image, Automation and Robotics
Thesis: Neuro-Steered Music Source Separation
Supervisors: Slim Essid, Gaël Richard.
Keywords: Music source separation, Auditory attention decoding, Electroencephalography (EEG).
Thesis: Neuro-Steered Music Source Separation
Supervisors: Slim Essid, Gaël Richard.
Keywords: Music source separation, Auditory attention decoding, Electroencephalography (EEG).
Politecnico di Torino
Torino, Italy
2018
M.Sc. in Bioengineering
Thesis: CNNs and Transfer Learning for metastasis segmentation in high resolution images
Supervisors: Elisa Ficarra, Santa Di Cataldo, Francesco Ponzio.
Keywords: Transfer Learning, Semantic Segmentation, Histopathological Images
Thesis: CNNs and Transfer Learning for metastasis segmentation in high resolution images
Supervisors: Elisa Ficarra, Santa Di Cataldo, Francesco Ponzio.
Keywords: Transfer Learning, Semantic Segmentation, Histopathological Images
University of Padova
Padova, Italy
2015
B.Sc. in Biomedical Engineering
Thesis: A supervised learning approach for the robust detection ofheart beat in plethysmographic data
Supervisors: Enrico Grisan.
Keywords: Supervised Learning, Heart Beat Detection, Photoplethysmography (PPG)
Thesis: A supervised learning approach for the robust detection ofheart beat in plethysmographic data
Supervisors: Enrico Grisan.
Keywords: Supervised Learning, Heart Beat Detection, Photoplethysmography (PPG)
Work History
École normale supérieure
Paris, France
2022 - now
Postdoc — Investigating speech and music perception.
Supervisors: Shihab Shamma.
AIP, RIKEN, Univesity of Kyoto
Kyoto, Japan
2023 - now
Visiting researcher — Probabilistic modelling of brain signals.
Supervisors: Kazuyoshi Yoshii.
Trinity College Dublin
Dublin, Ireland
2022 - now
Visiting researcher — Investigating natural sensory processing with EEG.
Supervisors: Giovanni Di Liberto.
InterDigital R&D
Rennes, France
July 2020 - October 2020
Research Internship — Developing algorithms for Music Surce Separation.
Supervisors: Alexey Ozerov.
Télécom Paris
Paris, France
2018 - 2021
PhD candidate — Developing algorithms for Music Surce Separation.
Supervisors: Slim Essid, Gaël Richard.
IIS G. Galilei
Bolzano, Italy
2017 - 2018
Electronic and informatic laboratory technician — Responsible of the electronic and computer labs and teaching support.
Achievements
Grants
- (2022 - 2024) Postdoc within ERC Advanced Grant, NEUME, Neuroplasticity and the Musical Experience
- (2018 - 2021) MSCA fellowship as part of the MIP-Frontiers European training network
Awards
- 2024, ARO travel grant, Association for Research in Otolaryngology ($750)
- 2023, Neuromorphic travel grant, Telluride Neuromorphic workshop travel grant ($3000)
- 2018, Main prize from Microsoft (“best use of AI technology”) at the Abbey Road Red Hackathon (2018)
- 2018, Abbey Road’s prize, Deezer’s Hacking Audio & Music Research (HAMR) Hackathon
Other
Communication
- Du cerveau en capsule. Video pitch of my research realized by Institut Carnot Cognition
- The science behind music technology, an animated story. Conception, script and music coordination
- Blog articles on women in science, green AI, WiMIR and personal blog
- Blog posts on my scientific work, ADASP, MIP-frontiers and personal websites
Service
- Women in Music Information Retrieval (WiMIR), leading the editorial team
- Cognition and Natural Sensory Processing Initiative (CNSP) organization commitee
Reviewership
- International Society for Music Information Retrieval (ISMIR) Conference
- IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP)
- eLife, European Journal of Neuroscience
- various signal processing conferences such as WASPAA, ICASSP, INTERSPEECH
Skills
Languages
- Italian (Native)
- English (Fluent)
- French (Conversational)
- German (Conversational)
- Japanese (Beginner)
Operating Systems
- Windows
- Linux (Mint, Ubuntu)
- Sun Grid Engine (SGE), and SLURM
Programming
- Python, MATLAB
- Latex
- Java
- Assembly
IDE and Tools
- git, GitHub, VSCode
- Matlab, Simulink, and Labview
- Sonic Visualizer, and Audacity
- Office, Overleaf, and Beamer