School of Engineering
Showing 1,501-1,550 of 1,781 Results
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Gregory Valiant
Associate Professor of Computer Science
Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering and, by courtesy, of Computer Science
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His current research focuses on reinforcement learning. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edited the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization. He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT, where his doctoral research was advised by John N. Tstitsiklis. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, the Management Science and Engineering Department's Graduate Teaching Award, and the Lanchester Prize. He was the plenary speaker at the 2019 Allerton Conference on Communications, Control, and Computing. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen. -
Angel Luis Vazquez
Undergraduate, Computer Science
BioI’m a Computer Science student at Stanford interested in systems, software engineering, and the intersection of hardware and software. I enjoy building projects that help me understand how technology works from the ground up, from low-level programming to full-stack applications.
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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 within the Wearables team at Meta Reality Labs, with core research interests in artificial intelligence, machine learning, agentic systems and multimodal computing.She holds dual Bachelor’s degrees in Computer Science and Software Engineering from the University of California, Irvine. During her undergraduate career, she conducted research on intelligent systems, computer vision and multi-agent pathfinding algorithms.
While working full-time at Meta, Emily is pursuing a part-time Master of Science in Computer Science through Stanford University’s Honors Cooperative Program (HCP). Her graduate specialization focuses on AI-enabled spatial audio, immersive XR sonics, and edge-adaptive AI systems optimized for wearable hardware.
Her work centers on merging rigorous software engineering principles with applied AI research to build robust, production-ready human-centered systems for voice processing, spatial audio delivery, wearable devices and multimodal interaction. Her long-term objective is to develop high-impact AI products while advancing her research depth in AI system architecture and multimodal intelligence. Emily welcomes academic and industry collaborative opportunities.
