School of Engineering
Showing 1-100 of 111 Results
-
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. -
Ryan Wang
Ph.D. Student in Bioengineering, admitted Autumn 2024
Current Research and Scholarly InterestsRestorative neurotechnologies, systems neuroscience, brain-computer interfaces
-
Robin Linus
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioCypherpunk | Bitcoin researcher | Creator of BitVM
Focusing on the scalability, privacy, and usability of Bitcoin.
https://robinlinus.com -
Evelyn Wong
MD Student, expected graduation Spring 2028
Ph.D. Student in Bioengineering, admitted Spring 2026
MSTP StudentCurrent Research and Scholarly InterestsSoft bioelectronics for multi-modal sensing and neural stimulation
-
Thomas Wooldridge
Ph.D. Student in Mechanical Engineering, admitted Autumn 2025
BioMy name is Thomas Wooldridge. I recently graduated with my BS in Mechanical Engineering at Purdue University. I am currently a research assistant in Dr. Ron Hanson's lab group, where I am interested in working with shock tubes, laser analytic systems, and hypersonics. I enjoy spending time outside, playing golf and badminton, and going to the gym.
-
Theodora Worledge
Ph.D. Student in Computer Science, admitted Autumn 2022
BioTheodora (Teddi) Worledge is a PhD student in Computer Science at Stanford University, where she works on making machine learning models more reliable and trustworthy. Her research focuses on developing interpretability and attribution tools that help users verify and understand language model outputs. She is advised by Carlos Guestrin and supported by the NSF Graduate Research Fellowship. Before Stanford, she earned her BA in Computer Science from UC Berkeley.
-
Katie Wu
Ph.D. Student in Environment and Resources, admitted Autumn 2022
Ph.D. Minor, Civil and Environmental EngineeringBioKatie's research explores how community-driven social interventions and infrastructure development impact community and climate resilience in informal settlements. Her work advances how we operationalize resilience to better inform community-based strategies, policy, and investments that support urban transformation for vulnerable populations. She incorporates participatory methods essential for driving community-led efforts, ensuring a community's deep participation in every step of the iterative analysis, planning, and decision-making processes, in collaboration with multi-sectoral partners and decision-makers. Katie integrates advanced data science techniques, including network science and graph neural networks (GNNs), with community-generated, ground-truthed data to redefine how resilience is measured and applied for more equitable, community-driven strategies for sustainable development. She uses unconventional data sources, such as satellite imagery and citizen-sourced data, to model the built and natural environment in areas with limited conventional data.
Prior to Stanford, Katie studied data science and AI for Product Innovation at Duke University, where she obtained a Master of Engineering Management (MEM). She was a Sustainability Graduate Intern at Lyft, Inc., where she completed and rebuilt their 2020 Greenhouse Gas (GHG) Inventory and Report and designed an air quality model forecasting potential health benefits of EV adoption for underserved communities. She received an M.S. in Medical Science from the University of Colorado School of Medicine and a B.S. in Animal Science with Distinction in Research from Cornell University. Katie is a Dean's Graduate Scholar in the Doerr School of Sustainability, an Emerson Consequential Scholar with the Stanford Technology Ventures Program (STVP), a Graduate Fellow at the Stanford Institute for Human-Centered AI (HAI), and a Stanford Dalai Lama Fellow.
