School of Engineering


Showing 21-30 of 147 Results

  • Jay Borenstein

    Jay Borenstein

    Lecturer, Computer Science

    BioJay is a principal at Stanford's Industry Innovation Lab. At Stanford he is also a founding sponsor of the StartX accelerator program and CS + Social Good. Jay has also served as an advisor to hundreds of students and serves on the CS Masters admission committee at Stanford. Prior to Stanford, Jay was the founder and CEO of Integration Appliance as well and held the unique role of "Education Modernizer" at Meta (Facebook).

  • Adam Bouland

    Adam Bouland

    Assistant Professor of Computer Science

    BioAdam Bouland is an Assistant Professor of Computer Science. His research focuses on quantum computing theory and connections between computational complexity and physics. Please see http://theory.stanford.edu/~abouland/ for details.

  • Moses Charikar

    Moses Charikar

    Donald E. Knuth Professor and Professor, by courtesy, of Mathematics

    Current Research and Scholarly InterestsEfficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; low-distortion embeddings of finite metric spaces.

  • Yejin Choi

    Yejin Choi

    Dieter Schwarz Foundation HAI Professor and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence

    BioYejin Choi is the Dieter Schwarz Foundation Professor and Senior Fellow at the Department of Computer Science at Stanford University and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) respectively. Choi is MacArthur Fellow (class of 2022), AI2050 Senior Fellow (class of 2024), and named among Time100 Most Influential People in AI in 2023. In addition, Choi is a co-recipient of 2 Test-of-Time awards and 8 Best and Outstanding Paper Awards at top AI conferences including ACL, ICML, NeurIPS, ICCV, CVPR, and AAAI, the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016. Choi was a main stage speaker at TED 2023, and a keynote speaker for a dozen conferences across several AI disciplines including ACL, CVPR, ICLR, MLSys, VLDB, WebConf, and AAAI. Her current research interests include fundamental limits and capabilities of large language models, alternative training recipes for language models, symbolic methods for neural networks, reasoning and knowledge discovery, moral norms and values, pluralistic alignment, and AI safety.

  • Eric Darve

    Eric Darve

    Director, Institute for Computational and Mathematical Engineering (ICME), Professor of Mechanical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsThe research interests of Professor Darve span across several domains, including machine learning for science and engineering, large-language models, transformer models, surrogate and reduced order modeling, stochastic inversing, anomaly detection, numerical linear algebra, high-performance, parallel, and GPU computing.

  • Emma Dauterman

    Emma Dauterman

    Assistant Professor of Computer Science

    BioEmma Dauterman is an assistant professor at Stanford University in the Department of Computer Science. She works at the intersection of systems, security, and applied cryptography to build systems that provide strong security and privacy properties. She was a postdoc at MIT with Henry Corrigan-Gibbs, and before that, she was a PhD student at UC Berkeley advised by Raluca Ada Popa and Ion Stoica. Emma's work has influenced the Signal messaging application, as well as Apple's Enhanced Visual Search. Emma was a runner-up for the ACM SIGSAC Doctoral Dissertation Award and a recipient of the Microsoft Ada Lovelace Research Fellowship and NSF Graduate Research Fellowship.

  • David Dill

    David Dill

    Donald E. Knuth Professor in the School of Engineering, Emeritus

    Current Research and Scholarly InterestsSecure and reliable blockchain technology at Facebook.