With multidisciplinary experience spanning educational research, edtech development, and AI policy, Yoyo’s research and work addresses digital inequities by promoting 1) responsible design processes that facilitate meaningful multi-stakeholder representation and participation, and 2) responsive design outcomes that account for diverse human-centered needs.
Yoyo holds a B.A. in Education, Policy, and International Development from the University of Cambridge and is currently pursuring an M.S. in Education Data Science at Stanford. She is passionate about creating inclusive digital learning environments that empower communities to develop tech literacy, foster creativity, and cultivate spaces of care.
Yoyo holds a B.A. in Education, Policy, and International Development from the University of Cambridge and is currently pursuring an M.S. in Education Data Science at Stanford. She is passionate about creating inclusive digital learning environments that empower communities to develop tech literacy, foster creativity, and cultivate spaces of care.
Sophie is a creative problem solver who spends a lot of time thinking through and creating value add in various aspects of life. She holds a Master's in Learning Design and Technology from Stanford University and brings expertise in learning sciences, mixed-methods research, and designing technology-enhanced learning. Her research and practice focus on understanding how students interact with educational technology and ensuring AI tools meaningfully support, rather than replace, human learning relationships.
Richard (Chenming) Tang is a data scientist and a mission-driven edtech practitioner aiming to bring inclusive and quality education to everyone around the world, with the aid of technology. He has spent more than 7 years in the Silicon Valley Bay Area and Chinese edtech ecosystem pursuing edtech innovations, gaining diverse experiences from academia, big and mid-market edtech firms, startups, and non-profit and philanthropic sectors.Since the emergence of LLMs, he has been seeing too many edtech companies prioritizing speed and scale at the expense of learning outcomes and AI safety in the edtech industry. At the same time, he identified huge barriers for industry practitioners to translate theoretical findings from responsible AI research and policy guidelines into actual products and services.These had prompted him to found Learnest, pushing forward an agenda that would work to ensure technology-enabled education systems are safe, robust, and ethical, so that ALL learners can thrive with and benefit from powerful technologies such as AI. Richard holds an M.S. in Education Data Science in Stanford Graduate School of Education and a B.A. in Economics from University of California, Berkeley. His hometown is Shanghai, China.
Anvit Garg is a graduate student currently studying Education Data Science at Stanford University. He holds a BS in Social Sciences from Minerva University, a unique undergraduate program trying to revolutionize college education by allowing students to live and study in seven different countries across four years.
He is deeply interested in using edtech products to design better classrooms and improve teacher efficiency, especially in developing countries like India.
Outside of work, you can find him playing squash, listening to futurist podcasts, and trying out new restaurants.
He is deeply interested in using edtech products to design better classrooms and improve teacher efficiency, especially in developing countries like India.
Outside of work, you can find him playing squash, listening to futurist podcasts, and trying out new restaurants.
