José Luis Redondo García

José Luis Redondo García Email and Phone Number

Senior Research Scientist at Spotify @ Spotify
stockholm, stockholm, sweden
José Luis Redondo García's Location
Greater Madrid Metropolitan Area, Spain
About José Luis Redondo García

I work on researching and developing natural language understanding technologies for Amazon Alexa. My evolving research interests include NLP, Knowledge Representation, Web Semantic and Multimedia Annotation. My work on automatically collecting and ranking contextual entities in international news has obtained the Best Paper Award at the international conference KCAP 2015. I have worked as a Postdoc with the Ontology Engineering Group at the Artificial Intelligent Faculty, Universidad Politécnica de Madrid, studying the potential of ontology learning and topic modelling techniques to make sense out of big collections of textual documents. From 2012 to 2016 I pursued my PhD with the Doctoral School Telecom Paristech, in France. As a member of the Data Science department at Eurecom Institute in Sophia Antipolis, I have been involved in different national and european projects such as LinkedTV, MediaMixer, o 3Cixty.

José Luis Redondo García's Current Company Details
Spotify

Spotify

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Senior Research Scientist at Spotify
stockholm, stockholm, sweden
Website:
spotify.com
Employees:
7693
José Luis Redondo García Work Experience Details
  • Spotify
    Senior Research Scientist
    Spotify Nov 2022 - Present
    Natural Language Processing and advanced knowledge representation at Spotify
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  • Librairy_Eu
    Co-Founder
    Librairy_Eu Jun 2021 - Present
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  • Amazon
    Applied Scientist
    Amazon Apr 2017 - Feb 2023
    Cambridge, United Kingdom
    Working on making Alexa smarter. I contributein the following areas: (1) building an experimentation platform enabling scientist to test new AI models and techniques, (2) investigating the impact of custom data-selection methods and advanced neural-based models to boost Alexa's understanding capabilities, and (3) rapid bootstrapping of new languages in Alexa by building statistical models are able to perform better with fewer amounts of data.
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  • Ontology Engineering Group, Universidad Politécnica De Madrid
    Postdoc Researcher
    Ontology Engineering Group, Universidad Politécnica De Madrid May 2016 - May 2017
    Madrid Area, Spain
    Under the scope of the project DrInventor, I study how scientific and technical document collections can benefit from advanced annotation methods such as topic modelling and ontology learning techniques, in order to help experts to traverse and discover knowledge across several different research areas
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  • Eurecom
    Phd Student
    Eurecom Mar 2012 - Apr 2016
    He investigates how to bring semantic to the multimedia field, and in particular to Television. The objective is making TV content and Web information as seamlessly interconnected as is done today in the Web of Data: interlinked at different granularities (Media Fragments URI 1.0), searchable, and accessible everywhere and at every time.He also works on making sense out of fresh and heterogeneous data about human’s activities shared in Social Platforms.
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  • Centrum Wiskunde & Informatica
    Research Intern
    Centrum Wiskunde & Informatica Dec 2014 - Jan 2015
    Amsterdam, North Holland, Netherlands
    Collaborated with researchers at CWI in developing an approach to retrieve named entities that are relevant to new stories in the Web. These entities further disclose details about these news, which were not explicitly mentioned in the original newscast. A ranking algorithm based on entity frequency, popularity peak analysis, and domain experts’ rules sorts those annotations to generate what we call Semantic Snapshot of a Newscast (NSS). We benchmarked this method against a gold standard generated by domain experts and assessed via a user survey over five BBC newscasts.
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  • University Of Extremadura
    Research Assistant
    University Of Extremadura Jan 2011 - Feb 2012
    Improving Linked Data consuming techniques through the use of Ontology Alignment Techniques. The task of integrating Linked Data sources in information systems involves high temporal costs and manual-based efforts that do not bring significant advantages over conventional data retrieving methods. By using Ontology Alignment Techniques, it is possible to minimize the impact of these problems.
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  • University Of Extremadura
    Software Developer
    University Of Extremadura Jan 2009 - Jan 2011
    Development of a Java application (WeAPoN) for creating Administrative Processes and serializing them in RDF according to an ontology specifically created for this domain. The workflows are graphically designed by using Petri nets diagrams. After the serialization, Web form based applications are automatically generated out of the ontological representation in order to implement that particular administrative process.
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  • University Of Extremadura
    Research Assistant
    University Of Extremadura Dec 2007 - Dec 2008
    This research consist in the study of valid scenarios for developing interactiveMultimedia Home Platform applications by using low-cost components. Also, It was developed a digital interactive application for deploying e-learning services over DVB-T signal.
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José Luis Redondo García Skills

Semantic Web Multimedia Knowledge Representation Ontology Engineering Social Media Computer Science Rdf Semantic Technologies Java Linked Data Machine Learning Algorithms Artificial Intelligence Latex C++ Linux Software Development

José Luis Redondo García Education Details

  • Télécom Paristech
    Télécom Paristech
    Computer Science
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  • University Of Extremadura
    University Of Extremadura
    Computer Science
  • University Of Extremadura
    University Of Extremadura
    Research Methodology And Quantitative Methods

Frequently Asked Questions about José Luis Redondo García

What company does José Luis Redondo García work for?

José Luis Redondo García works for Spotify

What is José Luis Redondo García's role at the current company?

José Luis Redondo García's current role is Senior Research Scientist at Spotify.

What schools did José Luis Redondo García attend?

José Luis Redondo García attended Télécom Paristech, University Of Extremadura, University Of Extremadura.

What are some of José Luis Redondo García's interests?

José Luis Redondo García has interest in Natural Language Processing, Machine Learning, Semantic Web, Linked Data, Ontology Modeling, Informationextraction, Knowledge Representation, Information Extraction, Multimedia.

What skills is José Luis Redondo García known for?

José Luis Redondo García has skills like Semantic Web, Multimedia, Knowledge Representation, Ontology Engineering, Social Media, Computer Science, Rdf, Semantic Technologies, Java, Linked Data, Machine Learning, Algorithms.

Who are José Luis Redondo García's colleagues?

José Luis Redondo García's colleagues are Brian St. Thomas, Megan Mclean, Isaac Pettit, Mike Seid, Ilyasa Rangsang Kusuma, Lina Mohamed, Carla 👩🏼‍💻 Stickler.

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