Pascal Landry

Senior UX Researcher @Infobip | UX Lecturer @BTS

Greater Barcelona Metropolitan Area

About

AI and product innovation veteran with a background in UX, management, and development. I specialized in collaborating with diverse stakeholders and transforming research or diverse ideas into actionable, product insights.

Experience

  • Senior UX Researcher at Infobip
    Feb 2022 - Present · 4 yrs 5 mos

    Working on tools to create AI agents, marketing campaigns, and chatbots. I lead discovery and innovation research to evaluate strategies for improving human–AI interaction, while delivering insights that shape features, refine user experience, and inform decisions on new AI capabilities.

  • Lecturer - Human Factors & User Research at Barcelona Technology School
    Dec 2020 - Present · 5 yrs 7 mos

  • Principal UX Research & Product Lead at Gestoos
    Apr 2018 - Jan 2022 · 3 yrs 10 mos

    As a Principal UX Research & Product Lead, I lead discovery research to identify user needs and market opportunities, shaping product features from concept to delivery. I work cross-functionally to turn insights and prototypes into innovative, user-centered products that meet business objectives. Gestoos is an AI platform that enables cameras and sensors to see, understand, and respond to human movement and behavior in any environment or context.

  • Lecturer at ENTI Escola de Noves Tecnologies Interactives
    Feb 2019 - Aug 2020 · 1 yr 7 mos

  • Imersivo (2 yrs 11 mos)
    • CTO
      Feb 2017 - Apr 2018 · 1 yr 3 mos

      Imersivo is the first customer recognition solution that bridges the physical store with its online presence. It provides a novel solution of shopping experience.

    • Lead Engineer
      Jun 2015 - Jan 2017 · 1 yr 8 mos

      Imersivo is the first customer recognition solution that bridges the physical store with its online presence. It provides a novel solution of shopping experience. As computer vision lead engineer, I am in charge of developing and structuring the conception of our solutions based on camera interaction. This include the personal shopper assistant that extract physical features of a person in front of the camera and recommend them product as well as the "gamification" of the shopping experience.