Children with Autism struggle to identify social cues in people’s faces. Catalin Voss developed a machine learning system that uses wearable glasses to recognize facial expressions and provides real-time therapy for children with autism. In this talk, Catalin describes how he turned his computer vision research idea into a validated medical device on path towards FDA clearance through the Autism Glass Project as an undergraduate student at Stanford. His talk discusses how a paradigm of active, human-centered machine learning enables us to build assistive technologies and interventions for social good.

About the Speaker

Catalin Voss is an entrepreneur and a PhD student in Artificial Intelligence at Stanford University, where he previously graduated with a MS and BSH in Computer Science. Catalin’s research focusses on building scalable AI systems that solve practical social challenges. Catalin developed an AI-based augmented reality therapy for children with autism, which is currently pending FDA approval. He also co-founded DukaConnect, a Kenyan company that built a computer vision based Point of Sale system for shopkeepers in emerging markets and was acquired by Mastercard this year. As an undergraduate student in theoretical computer science, Catalin founded computer vision company Sension, developing face tracking software that was acquired by GAIA Systems (owned by Toyota) in 2015. Prior to coming to Stanford, Catalin built a mobile payments system at PayNearMe with Macintosh-father Steve Capps while still in high school. He has won the Lemelson-MIT, Stanford’s Kennedy Medal, Forbes’ 30 under 30, Business Insider’s 40 under 40, and other awards for his work and has been profiled in outlets such as WIRED. Originally from Germany, Catalin was the subject of a 5-page profile in Der Spiegel after he moved to Silicon Valley at age 17. He also worked as an advisor and Venture Partner for Axel Springer, Europe’s largest publishing company.