School of Engineering
Showing 1-100 of 149 Results
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David F. Castro Pena
Research Asst - Graduate, Brown Institute for Media Innovation
Research Asst - Graduate, Computer ScienceBioDavid is a double major in industrial engineering and finance, specializing in causal inference and machine learning. During his experience of over 7 years, David has led teams within multilateral organizations, startups, and government institutions in the United States and LATAM. In his capacity, David integrates machine learning, econometrics, and political economy to craft solutions for intricate challenges affecting millions of people.
David is pursuing a master's degree in computational social science on a full scholarship at Stanford's School of Management Science and Engineering, where he is supervised by Dr. Vasilis Syrgkanis. Additionally, David obtained a master's degree in econometrics/public policy from the University of California, San Diego.
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Edward Y. Chang
Acting Professor, Computer Science
BioEdward Y. Chang has been an adjunct professor in Stanford’s Computer Science Department since 2019. Previously, he was a tenured professor at UC Santa Barbara. From 2006 to 2012, he served as a director at Google Research, where he pioneered data-centric and parallel machine learning and contributed to the ImageNet project. Chang later became president of HTC Healthcare, where he developed AI-powered diagnostics and won the Tricorder XPRIZE. He has also held positions at HKUST and UC Berkeley. Chang earned an MS in Computer Science and a PhD in Electrical Engineering from Stanford. He is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare AI.
Since 2019, Chang’s research has focused on virtual assistance, collaborating with Monica Lam, and more recently on large language models (LLMs). He hypothesizes that LLM Collaborative Intelligence (LCI) could pave the way toward artificial general intelligence (AGI).
Chang has authored seven books, including:
Unlocking the Wisdom of Large Language Models (2024)
LLM Collaborative Intelligence: The Path to Artificial General Intelligence (2024)
Journey of the Mind (Poetry, 2023)
Mandarin translation of Erwin Schrödinger’s What is Life? Mind and Matter (2021)
Big Data Analytics for Large-Scale Multimedia Search (2019)
Nomadic Eternity (Poetry, 2012)
Foundations of Large-Scale Multimedia Information Management and Retrieval (2011) -
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.
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Andrew Andai Chien
Visiting Professor, Computer Science
BioAndrew A Chien is visiting Stanford on sabbatical for 2024-25 AY. At the University of Chicago, he is the William Eckhardt Distinguished Service Professor of Computer Science and Senior Scientist at Argonne National Laboratories. He has led the Zero-carbon Cloud project since 2015, and is known for his research on datacenters, renewable energy and sustainability, cloud resource management and software, large-scale system architecture, and graph computing architecture. Chien is leader of the IARPA funded “UpDown System Project”, designing breakthrough scalable graph analytics systems. Chien has received numerous recognitions for research. Dr. Chien currently serves on the NSF CISE Advisory Committee and DARPA ISAT. He is a Fellow of the ACM, IEEE, and AAAS. He served as EiC of Communications of the ACM, 2017-2022, and Vice President of Research at Intel Corporation from 2005-2010. He served as SAIC Chair Professor of University of California, San Diego and earlier as faculty at the University of Illinois. He received BS, MS, and PhD degrees from the Massachusetts Institute of Technology.
His UChicago home page is https://cs.uchicago.edu/people/andrew-a-chien/ -
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.
