After Masters studies in Computer Science in Paris and a PhD in Artificial Intelligence focused on cognitive science, intrinsic motivations & robotics, I moved to New York City in 2012 to conduct academic research in behavioral psychology & neuroscience at Columbia University.
In 2015, I joined Google New York City (Google London in 2019) to drive human, strategic equity-centered design research, prototyping & data-driven processes across Google’s Corporate Engineering and Physical Architecture teams. My projects span from a quantifying and improving employee motivation & productivity, to ensuring Google’s physical and digital, AI-assisted collaborative spaces are inclusive and equitable. Through those projects, I worked on ensuring rigorous prototyping and validation of product ideas through clear protocols and community input. I have been a strong horizontal advocate to involve underrepresented groups in early research and design work within engineering cultures. I also specialized on training and advising multiple internal startups how to prototype and build data-driven processes to ensure discovery and validation of new, innovative product ideas.
I believe in the need to deeply understand systemic problems by studying people, impacted communities and societal contexts to build solutions that are right. Through foundational research and prototyping, I help cross-functional organisations rehearse the future and validate that solutions will really meet the needs of people.