School of Engineering
Showing 5,151-5,200 of 5,933 Results
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Chibuike Uwakwe
MD Student, expected graduation Spring 2028
Ph.D. Student in Bioengineering, admitted Autumn 2025
MSTP Student
Tutor, SoM Office of Student ServicesCurrent Research and Scholarly InterestsWearable bioelectronics for continuous health monitoring and therapeutics
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Rupin Vaidya
Masters Student in Chemical Engineering, admitted Autumn 2025
BioHere to learn, share, and meet new people. Feel free to reach out!
HCP Stanford Masters Student in Chemical Engineering, beginning Autumn 2025
Full-Time Process Engineer I at Lummus Technology based in Houston, TX, July 2025
Graduated with a Bachelors in Chemical Engineering from the University of Texas at Austin, May 2025 -
Carlos Valencia
Undergraduate, Mechanical Engineering
BioBorn in Camarillo, California, Carlos Valencia learned early that challenges forge resilience. As the son of a hard-working immigrant family, he spent summers working in the avocado and lemon industry—a childhood that taught him the value of grit and the power of opportunity. Today, as a Mechanical Engineering student at Stanford University, he channels that determination into robotics, education advocacy, and uplifting communities.
Carlos loves learning about robotic technology and has worked on numerous projects related to the field. Carlos’s passion for engineering took root in high school. As the former president of the ACHS MESA (Mathematics, Engineering, Science, & Achievement) chapter, he mentored 45+ first-generation students, leading them to compete in national STEM competitions. In the summer of 2024, he worked with L5 Automation, a robotics company based in La Cañada, CA, in Olmos, Peru where he helped develop harvesting platforms for one of the largest agriculture producers in Peru.
Beyond engineering, believes in the power of storytelling to inspire action. His TEDx talk, “Avocados Rot” drew from his upbringing to challenge audiences to seize fleeting chances—a message that resonated globally. Recognized as Camarillo Youth of the Year (2023) and awarded the Bronze Volunteer Award by the American Red Cross, he balances innovation with service, whether rebuilding communities after disasters or leading robotics teams.
Carlos’s mission is to democratize STEM access. Carlos envisions a world where education erases barriers. He aims to pioneer low-cost robotic solutions for agriculture and healthcare while expanding mentorship networks for first-gen students. When not engineering or volunteering, he unwinds by hiking, playing pickup soccer, or tinkering with 3D printers. -
Mauricio Valencia
Director Corporate Relations, School of Engineering - External Relations
Current Role at StanfordDirector of Corporate Relations, School of Engineering
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Melissa Valentine
Associate Professor of Management Science and Engineering and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.
These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.
Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.
My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations. -
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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William R. Van Dalsem
Adjunct Lecturer, Mechanical Engineering
BioBill recently completed 40+ years at NASA. Bill's goal is to help the next generation of engineers address the complex challenges facing society, such as climate change, and the resulting critical needs to achieve greener energy and transportation and reduce the impact of wildfires and droughts.
He graduated from Stanford with a Ph.D. in Mechanical Engineering (with a minor in Aeronautics and Astronautics) in 1984, as well as a Master's in Mechanical Engineering in 1981. Bill received his Bachelor's in Mechanical Engineering from the University of California, Santa Barbara where his capstone project was an operational diffuser augmented wind turbine. Bill was a University of California Regent Scholar.
At NASA, Bill began as a research scientist in computational fluid dynamics, eventually providing leadership to organizations that provided aerodynamic support to activities ranging from the Space Shuttle to V/STOL aircraft. Bill led NASA-wide programs which brought high-performance computing to bear on Earth sciences, multi-disciplinary physics to aerospace design, and explored the application of nano and quantum technologies to NASA missions. Bill led NASA Ames' Intelligent Systems Division, which provided critical software to NASA's Earth-like planet detecting Kepler mission, two missions to the Moon, and many innovative small spacecraft missions. Bill spent seven years as a senior systems engineer in the NASA Ames Office of the Chief Engineer. Bill served as the Deputy Director and Chief Strategy Officer of the NASA Ames Aeronautics Directorate, when among his other duties he envisioned a Data & Reasoning Fabric to enable autonomous aircraft to provide critical services in complex environments. In 2020, Bill received NASA's highest recognition, the NASA Distinguished Service Medal.
Bill is learning about exciting new challenges and creative student solutions from his participation in the Stanford Mechanical Engineering Senior Capstone Program. In return, he is trying to provide some lessons learned from working some of NASA's most exciting and challenging missions.
Stanford Mechanical Engineering Senior Capstone Program:
https://me170.stanford.edu -
Thibaut Van Gorp
Graduate Visiting Researcher Student, Aeronautics and Astronautics
BioThibaut received his Bachelor of Science in Electrical and Mechanical Engineering from UCLouvain (Belgium). His interests include semiconductor device modeling and characterization, with a focus on micro- and nanofabrication, RF applications, and electronics for harsh environments.
He is currently a Graduate Visiting Researcher at XLab, Stanford University, while completing his Master of Science in Electrical Engineering at UCLouvain.
His Master’s thesis, titled “Characterization, Modeling, and Simulation of FD-SOI Transistors at High Temperature,” focuses on the analysis of DC and RF device performance using TCAD simulations and compact modeling in Cadence Virtuoso. -
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. -
Tiziana Vanorio
Associate Professor of Earth and Planetary Sciences, Senior Fellow at the Precourt Institute for Energy and, by courtesy, of Civil and Environmental Engineering
Current Research and Scholarly InterestsRock Physics, Fossil Energy Exploration, Volcanic and Geothermal Environments and Microseismicity
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Andras Vasy
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: non-elliptic linear and non-linear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for X-ray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.
