School of Engineering
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Dakuo Wang
Visiting Associate Professor, Computer Science
BioDakuo Wang is a Visiting Associate Professor at Stanford University, and an Associate Professor at Northeastern University, jointly appointed at Khoury College of Computer Sciences and the College of Arts, Media and Design. At Northeastern, Dakuo Wang leads the Northeastern University Human-Centered AI Lab (NEU HAI), and he is also the Founding Director of the AI Application Graduate Program. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a focus on the exploration, development, and evaluation of human-centered AI (HCAI) systems to achieve human-AI collaboration.
Before joining Northeastern, Dakuo Wang was a Senior Staff Member at IBM Research, Principal Investigator at MIT-IBM Watson AI Lab, and a Visiting Scholar at Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI). He got his Ph.D. from the University of California Irvine (advisor: Judith Olson and Gary Olson). He has worked as a designer, researcher, and engineer in the U.S., China, and France. He serves in organizing committees, program committees, and editorial boards for a variety of venues, and ACM has recognized him as an ACM Distinguished Speaker. -
Emily Wang
Masters Student in Computer Science, admitted Autumn 2026
BioEmily is a Software Engineer at Meta working within Reality Labs’ Wearables with interests in AI, machine learning, agentic systems, and multimodal computing. She earned dual bachelor’s degrees in Computer Science and Software Engineering from UC Irvine, where she worked on research involving intelligent systems, computer vision, and multi-agent pathfinding.
Alongside her work at Meta, Emily is pursuing Stanford’s part-time MS in Computer Science through the Honors Cooperative Program, with a specialized focus on AI-powered spatial audio, XR immersive sonics, and edge adaptive AI systems for wearable devices. She is particularly interested in combining strong software engineering with AI research to build practical, reliable systems for voice, spatial audio, wearables, and human-centered AI. Her long-term goal is to contribute to meaningful AI products while developing deeper research expertise in AI systems and multimodal intelligence.She is open to academic and industry collaboration opportunities.