Anoop K. Sinha

Sponsor Representative; Google Research

Anoop Sinha is Research Director at Google. His current research interests include future user interfaces research, with a focus on large model quality, and society-centered AI, applications that have the potential for beneficial impact on society. Prior to Google, he was at FAIR at Meta and led Machine Learning for Siri at Apple. Anoop has a PhD from UC Berkeley in Computer Science, with a Human Computer Interaction focus, and a BS from Stanford University where he received Honors in Science Technology & Society.

Anoop was also part of the organizing team for V1.0 of the workshop, held in Nov. 2025 for CS faculty.

Proadpran Punyabukkana

Chulalongkorn University

Proadpran Punyabukkana is an Associate Professor in Computer Engineering at Chulalongkorn University and a Fulbright Scholar with a Ph.D. from Claremont Graduate University. Her research spans database systems, speech and language technology, assistive technology, and AI-enabled systems with societal impact. She founded the Spoken Language Systems and Assistive Technology Research Groups at Chulalongkorn University and has held visiting academic appointments at MIT and Stanford University. Her work bridges foundational computing research with inclusive and human-centered applications, particularly in digital health and accessibility. She continues to actively supervise research and collaborate across engineering and medical domains. 

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Yi-Chia Wang

Stanford Social Media Lab

Yi-Chia Wang received her Ph.D. from the Language Technologies Institute in School of Computer Science at Carnegie Mellon University in 2016.  After graduation, she worked as a Research Scientist in the industry (Uber AI and Facebook/Meta AI).  She joins the Social Media Lab as a Visiting Scholar in partnership with the Human-Computer Interaction Group at the Computer Science Department.

Her research is interdisciplinary and lies in the intersection of Natural Language Processing (NLP), Computational Social Science (CSS), and Artificial Intelligence (AI). The goals are to study and model human-human and human-computer interaction in social contexts, understand its outcomes (e.g., engagement, well-being, integrity/fairness), and apply empirical findings to develop language technologies and interventions to better support these interactions. 

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