School of Engineering
Showing 1-100 of 2,286 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 and Professor of Particle Physics and Astrophysics
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. -
Ethan Allavarpu
Course Asst-Graduate, Computer Science
BioHello! My name is Ethan, and I will be joining QuantCo as a full-time Data Scientist in July 2024. I recently obtained a Master of Science (M.S.) in Data Science at Stanford University (with coursework in Statistics, Computer Science, and Computational and Mathematical Engineering). Before Stanford, I graduated summa cum laude with a Bachelor of Science (B.S.) in Statistics from the University of California, Los Angeles (UCLA). I am always eager to contribute to research and gain more experience through data science internships. My technical prowess, determined work ethic (I completed my four-year undergraduate degree at UCLA in three years), and effective communication skills make me a valuable addition to any team.
My experiences have prepared me to work in virtually any domain. I am always willing to discuss potential work opportunities or my path with prospective undergraduate or graduate students or data science enthusiasts via LinkedIn or email. -
Youssef Allouah
Graduate Visiting Researcher Student, Computer Science
BioYoussef Allouah is a visiting researcher at Stanford University advised by Prof. Sanmi Koyejo, and a third-year PhD student at EPFL, advised by Prof. Rachid Guerraoui. He previously graduated from Ecole polytechnique in Mathematics and Computer Science in 2021, with a research internship at Amazon. His research interests lie in trustworthy machine learning, with a focus on the theoretical aspects of robustness and privacy in distributed settings.
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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). -
Ruth Elisabeth Appel
Ph.D. Student in Communication, admitted Autumn 2019
Masters Student in Computer Science, admitted Autumn 2023Current Research and Scholarly InterestsRuth Appel combines insights and methods from psychology, political science and computer science to develop and evaluate evidence-based personalized interventions to promote the social good. She is particularly passionate about preventing the spread of misinformation, encouraging political participation, promoting wellbeing and mental health, and addressing ethical challenges related to new technologies. Her current research projects include the 2020 Facebook Election Research Project and an online game to combat vaccine misinformation. She has also written about the ethics and privacy implications of new technologies.
