I AM

ALISON REBOUD A PHD IN DATA SCIENCE FROM FRANCE
PhD Student in Data Science, Eurecom
Location : Nice, France
E-mail : alison.reboud@eurecom.fr
RESUME

I’m a second year PhD student at the Data Science department of Eurecom based on the French Riviera, under the supervision of Raphael Troncy and Benoit Huet.

I am currently primarily working on multimodal models for video summarization. My work also spans to story understanding and storytelling.

Languages

French
native
English
fluent
German
Intermediate
Danish
Beginner

Resume

Education

2019 - Present

PhD. in Machine Learning

Eurecom and Sorbonne, France. Thesis title : Deep multimodal models for empowering audio-visual storytelling

2015 - 2017

MSc. in Information Technology and Cognition

University of Copenhagen. Thesis dealt with predicting the outcome of judicial decisions using communication text and Natural Language Processing techniques.

2011 - 2015

BSc. in Economics and Statistics

University College London (UCL). Thesis dealt with studying the link between deprivation rate and variability in asthma medication prescriptions in England.

Experience

Dec 2018 - Feb 2019

AI Engineer at Cobiro, Copenhagen

Involved in optimising the data pipeline flow and implementing ML solutions.

2018

Data Scientist at iCourts, Centre of Excellence for International Courts

Faculty of Law, University of Copenhagen. Projects involving Information Extraction and Semantic Parsing for legal cases

2017 - 2018

Student Worker at AMCS, Denmark

Translation and system testing

Summer 2016

Intern at Intento

EPFL Campus, Lausanne. Worked on the Business Development of Intento's stroke rehabilitation solution.

September 2013

Intern as Parliamentary assistant at the French Parliament

Research and synthesis work on different topics including environmental policies. Required reactivity and analytical skills.

Summer 2013

Intern at Ulule, Paris

Project management for the crowdfunding plateform. Drafting of a user's guide

News

December 2020

Talk at Mediaeval here!

Talk at TrecVid here!


Publications

2020


Reboud, Alison ; Harrando, Ismael; Laaksonen, Jorma; Troncy, Raphaël. 2020. Predicting Media Memorability with Audio, Video, and Text representation. In Proceedings of MediaEval2020. https://www.eigen.no/

Harrando, Ismail; Reboud, Alison; Lisena, Pasquale; Troncy, Raphaël; Laaksonen, Jorma; Virkkunen, Anja; Kurimo, Mikko. 2020. Using fan-made content, subtitles and face recognition for character-centric video summarization. In Proceedings of TrecVid2020


2019


Alison Reboud, Ismail Harrando, Jorma T. Laaksonen, D. Francis, Raphaël Troncy, and H. Mantecón. Combining Textual and Visual Modeling for Predicting Media Memorability. 2019. In Proceedings of MediaEval2019, Sophia Antipolis, France (2019). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-2670/


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