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CV - David Perera
CV
Education
- 2021-2025: Ph.D: Ambiguity and Invariance in Machine Listening, Télécom Paris - Institut Polytechnique de Paris, Palaiseau, France
- Advisors: Prof. Gaël Richard, Prof. Slim Essid.
- Learn invariant representations with data augmentation.
- Mitigate task ambiguity and find optimal quantization with Multiple Choice Learning.
- Application to sound event detection, source localisation and speech separation.
- 2016-2020: M.S. in Computer Science, Télécom Paris, Paris, France
- Majors in Distributed Computing and Machine Learning.
- 2014-2016: Higher school preparatory classes, Lycée Charlemagne, Paris, France
- Intensive two years program in Mathematics and Physics (MP*).
Experience
- 2024: Mentoring a 5 month internship, Télécom Paris - Institut Polytechnique de Paris, Palaiseau, France
- Speech separation with an unknown number of speakers.
- 2019: Graduate research internship (6 months), Tokyo Institute of Technology, Tokyo, Japan
- Mitigate virus propagation in a distributed computer system (Markov Model, Graph Theory).
- 2018-2019: Internship (1 year), EDF Lab Paris-Saclay, Palaiseau, France
- Develop a simulation platform and a web application to interact with the platform (Akka, Angular).
Presentations
- 2024: Invited talk at Cergy University (ETIS Lab).
- 2024: Invited talk at Flatiron Institute (CCM).
- 2024: Invited talk at Nantes University (LS2N).
- 2022: Poster and oral presentation at GDR ISIS Audio.
- 2022: Poster and oral presentation at DCASE.
- 2022: Poster and oral presentation at GRETSI.
- 2022: Poster presentation at Hi! Paris meetup on computer vision.
- 2022: Poster presentation at Hi! Paris Summer School.
Skills
- Programming: Python (Pytorch, Lightning), Java (Akka), C++, Git, Latex.
- Language: French (native), English (professional proficiency), Portuguese (intermediate), Japanese (basic).
Awards
- 2021: Best poster award, HI! Paris Summer school ($1,000).
- 2018: Honorable mention, SWERC (ICPC regional qualification contest).
Outreach
- 2024: Peer review at ICASSP conference.
- 2024: Peer review at NeurIPS conference.
- 2023: Committee Member, and organization of Task 4 challenge.
- 2022: Volunteer assistant at DCASE workshop.
- 2022: Peer review at DCASE workshop.