Gavalda Marsal Email Address
@squareup.com
Head of Machine Learning, Commerce Platform
Square is a merchant services aggregator and mobile payment company that aims to simplify commerce through technology.
Senior engineering executive with deep expertise in speech, language, and machine learning technologies. Adept at building and leading data-centric engineering teams, articulating strategic vision, and driving product design and development. Organizer of an annual science and culture summit on topics as diverse as machine translation, music, or the neuroscience of free will. Upcoming/recent speaking engagements: - "Adopting a machine learning mindset" at Re-Work's Deep Learning Summit, San Francisco, Jan 2019 - "Data science at Square: from menu recommendations to economic empowerment" at ODSC East, Boston, May 2018 - "Machine learning for financial inclusion" at Predictive Analytics Innovation Summit, Chicago, Nov 2017 - "New technologies to help blind people" at my Barcelona seminar, Nov 2017 - "Careers in machine learning" at TAPIA diversity in computing conference, Atlanta, Sep 2017 - "Conversational agents as the next interface" at Mobility Live 2016 - "Building conversational agents" at VolHacks 2016 - ML panel moderator at CyberLaunch Demo Day 2016 - "Machine learning and social intelligence" at TAG 2016 - "Text analytics: trends, drivers, and unmet needs" at Landmark CIO Summit 2016 - "X as a service: a practical guide to consuming and building APIs" at HackDuke 2015 - "Working with language data" guest lectures at Georgia State University 2015, 2016 - "Narrowing the speech divide" at SpeechTEK 2015 - "Listening to everyone" at Mobile Voice 2015 - "Building industrial-strength APIs" seminar + hackathon at KAIST 2015 - "Developing context-aware applications" at DEVIEW 2014 - "Phonetic vs. word-based speech analytics" at SpeechTEK 2014 - "The transparent brain" at my Barcelona seminar 2014 - "What anticipatory computing means for mobile and location marketing" at Digital Summit 2014 - "The evolution of personal assistants" at Mobile Voice 2014 - "Augmenting conversations with a speech understanding anticipatory search engine" at IEEE ASRU 2013
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