School of Engineering
Showing 5,101-5,200 of 5,905 Results
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Madeleine Udell
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsProfessor Udell builds the mathematical and computational foundations needed for
scalable, accessible, and responsible data-driven decisionmaking in high-stakes domains, with impact on challenges in healthcare, finance, marketing, operations, and engineering.
She develops new efficient algorithms to accelerate and automate optimization and data science, and new frameworks that empower users to invoke these algorithms and interpret the resulting decisions. -
Jeffrey Ullman
Stanford Warren Ascherman Professor of Engineering , Emeritus
BioJeff Ullman is the Stanford W. Ascherman Professor of Engineering
(Emeritus) in the Department of Computer Science at Stanford and CEO
of Gradiance Corp. He received the B.S. degree from Columbia
University in 1963 and the PhD from Princeton in 1966. Prior to his
appointment at Stanford in 1979, he was a member of the technical
staff of Bell Laboratories from
1966-1969, and on the faculty of Princeton University between
1969 and 1979. From 1990-1994, he was chair of the Stanford Computer
Science Department. Ullman was elected to the National Academy of
Engineering in 1989, the American Academy of Arts and Sciences in
2012, and has held Guggenheim and Einstein Fellowships. He has
received the Sigmod Contributions Award (1996), the ACM Karl V. Karlstrom
Outstanding Educator Award (1998), the Knuth Prize (2000),
the Sigmod E. F. Codd Innovations award (2006), the IEEE von
Neumann medal (2010), and the NEC C&C Foundation Prize (2017).
He is the author of 16 books, including books
on database systems, compilers, automata theory, and algorithms. -
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 -
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.
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Luca Vendraminelli
Social Science Research Scholar, Stanford Digital Economy Lab (S-DEL)
Postdoctoral Scholar, Management Science and EngineeringBioLuca Vendraminelli is a Postdoctoral Researcher at the Digital Economy Lab and the Stanford Institute for Human-Centered AI (HAI) at Stanford University. He is also a research affiliate at the Center for Work, Technology & Organization (WTO) in the Department of Management Science and Engineering at Stanford University, and at the Data Science and AI Operations Lab in the Digital Data Design Institute at Harvard.
Within the context of large organizations, his research examines how AI transforms job tasks, expertise, and, more broadly, organizational design and the division of labor. He also investigates investments into AI and why AI projects fail, focusing on how the interplay between internal organizational factors and vendor strategies may be roadblocks at various stages of the technology innovation lifecycle.
His work has appeared in scientific journals such as the Journal of Product Innovation Management. He was awarded the 2020 Albert Page Award for Outstanding Professional Contribution. -
Ross Daniel Venook
Senior Lecturer of Bioengineering
BioRoss is a Senior Lecturer in the Bioengineering department and he is the Associate Director for Engineering at the Stanford Mussallem Center for Biodesign.
Ross primarily co-leads undergraduate laboratory courses at Stanford (an instrumentation lab (BIOE123) and an open-ended capstone design lab sequence (BIOE141A/B)) and he supports other courses and runs hands-on workshops in the areas of prototyping and systems engineering related to health technology innovation. He enjoys the unique challenges and constraints offered by biomedical engineering projects, and he delights in the opportunity for collaborative learning in a problem-solving environment.
An Electrical Engineer by training (Stanford BS, MS, PhD), Ross’ graduate work focused on building and applying new types of MRI hardware for interventional and device-related uses. Following a Biodesign Innovation fellowship, Ross helped to start the MRI safety program at Boston Scientific Neuromodulation, where he worked for 15 years to enable safe MRI access for patients with implanted medical devices, including collaboration across the MRI safety community to create and improve international standards. -
Shilpa Vijay
Postdoctoral Scholar, Mechanical Engineering
BioShilpa received her PhD in Mechanical Engineering from the University of Southern California (USC), Los Angeles, and was advised by Dr. Mitul Luhar. For her dissertation, she worked on developing structured porous surfaces for passive flow control, with applications to drag reduction and heat transfer. Her research interests lie in turbulent boundary layer flow, thermal/particle mixing and transport, and applications of experimental techniques to a variety of problems.
