School of Engineering
Showing 1-100 of 100 Results
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Sara Achour
Assistant Professor of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsI am an Assistant Professor jointly appointed to both the Computer Science and the Electrical Engineering Departments at Stanford University. My research focuses on new techniques and tools, specifically new programming languages, compilers, and runtime systems, that enable end-users to more easily develop computations that exploit the potential of emerging computing platforms that exhibit analog behaviors.
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Maneesh Agrawala
Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
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Alex Aiken
Alcatel-Lucent Professor of Communications and Networking, Professor of Particle Physics and Astrophysics, and of Photon Science
BioAlex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages.
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Shray Alag
Masters Student in Computer Science, admitted Autumn 2022
BioClass of 2025, Computer Science/Computational Biology
Research Publications:
Alag S (2020) Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. PLoS ONE 15(5): e0233438. https://doi.org/10.1371/journal.pone.0233438.
Alag S (2020) Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach. PLoS ONE 15(9): e0239694. https://doi.org/10.1371/journal.pone.0239694.
Alag, Shray. 2020, July 31. Extracting Unique Insights by Mining Single Nucleotide Polymorphisms from ClinicalTrials.gov and Applying the Human Phenotype Ontology [Presenter]. Society for Clinical Trials.
Proficient in Python, Java, Bash, Octave, Mathlab. -
Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for HAI and Professor, by courtesy, of Computer Science
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
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Jacy Reese Anthis
Graduate, Computer Science
BioJacy Anthis is a computational social scientist researching human-AI interaction and machine learning, particularly the rise of "digital minds" and how humanity can work together with highly capable AI systems. His research has been published in top academic venues, such as CHI, HRI, and NeurIPS, and featured in global media outlets, such as Vox, Forbes, and The Guardian. Anthis has presented his work at conferences and seminars in over 20 countries. He is a co-founder of the nonprofit research organization Sentience Institute, a PhD candidate at the University of Chicago, and currently a visiting scholar at the Institute for Human-Centered AI (HAI) at Stanford University. He lives in San Francisco with his wife Kelly Anthis and their adopted dogs Apollo and Dio(nysus).
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Rika Antonova
Postdoctoral Scholar, Computer Science
BioI am a postdoctoral scholar at Stanford University and a recipient of the NSF/CRA Computing Innovation Fellowship. Currently, I work at the Interactive Perception and Robot Learning (IPRL) lab headed by Jeannette Bohg. In the summer of 2024, I will be transitioning to a faculty position at the University of Cambridge.
I completed my PhD work on data-efficient simulation-to-reality transfer at the Robotics, Perception and Learning lab at KTH (Stockholm, Sweden), working in the group headed by Danica Kragic. During my PhD, I also had an opportunity to intern at NVIDIA Robotics (Seattle, USA) and Microsoft Research (Cambridge, UK).
Previously, I was a Masters student at the Robotics Institute at Carnegie Mellon University, developing data-efficient approaches for learning controllers for bipedal locomotion (with Akshara Rai and Chris Atkeson). During my time at CMU, my MS advisor was Emma Brunskill, and in her group I also worked on developing reinforcement learning algorithms for education.
Prior to that, I was a software engineer at Google, first in the Search Personalization group and then in the Character Recognition team (developing open-source OCR engine Tesseract).
