School of Engineering
Showing 1,701-1,750 of 6,464 Results
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Raul Garreta Tompson
Graduate, Stanford Center for Professional Development
BioI'm a tech entrepreneur, passionate about Artificial Intelligence (AI), with extensive experience in Machine Learning, Natural Language Processing and Robotics.
I started in Machine Learning back in 2005, building an artificial Go player with Neural Networks and Reinforcement Learning. That was ten years before AlphaGo used the same principles :)
Then worked on a bunch of companies including programming video games and implementing firmware for implantable medical devices.
In 2007 I started lecturing Machine Learning and NLP as a professor at the Computer Science Institute of UDELAR for 9 years.
In 2009 I co-founded Tryolabs, Python dev shop specialized in building products with AI.
In 2013 I co-authored with PhD Guillermo Moncecchi a technical book about an introduction to applied Machine Learning with Python programming language.
In 2014 I founded and led MonkeyLearn to make Machine Learning and NLP accessible to all companies and users. I raised a total of $4.2m from top tier Venture Capital and angel investors in Silicon Valley. I led all R&D and business operations, selling our product to top companies in the US.
In 2020 I finished my master thesis in Artificial Intelligence, "Data Efficient Deep Learning Models for Text Classification", where I compared multiple state of the art models, including language models.
In 2022 I exited MonkeyLearn to Medallia and joined as Sr Director leading AI research and development.
I'm an active investor, I invest in public markets but also in private companies, particularly tech startups and software product companies. I'm also LP in two venture capital funds, Uncork Capital and Garuda Ventures.
Currently researching and building on Artificial Intelligence for Robotics. -
Matthias Garten
Assistant Professor of Microbiology and Immunology and of Bioengineering
Current Research and Scholarly InterestsWith a creative, collaborative, biophysical mindset, we aim to understand the ability non-model organisms to interface with environment to a point at which we can exploit the mechanisms finding cures against diseases and use the mechanisms as tools that we can use to engineer the environment. By developing approaches that allow a quantitative understanding and manipulation of molecular transport our research makes non-model organisms accessible to researchers and engineers.
Specifically, we are studying how the malaria parasite takes control over red blood cells. By learning the biophysical principles of transport in between the host and the parasite we can design ways to kill the parasite or exploit it to reengineer red blood cells. The transport we study is broadly encompassing everything from ions to lipids and proteins. We use variations of quantitative microscopy and electrophysiology to gain insight into the unique strategies the parasite evolved to survive. -
Aimee Garza
Faculty Administrator, Computer Science
Current Role at StanfordCS DEI Program Coordinator
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Danielle Juliane Gaspar
Student Services Officer 2, Computer Science
Current Role at StanfordStudent Services Officer 2, Computer Science Department
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Robin Geens
Graduate, Electrical Engineering
BioRobin Geens is a PhD researcher at the MICAS research group (KU Leuven), advised by Prof. Marian Verhelst, and a Visiting Researcher at Stanford University’s Tambe Lab. He explores the hardware-software co-design fit of Generative AI on the edge, investigating how algorithms efficiently map to custom silicon.
His work spans from developing custom accelerator architectures specifically for State Space Models (SSMs) to integrating these cores into heterogeneous multi-core systems. Robin holds a Magna Cum Laude MSc in Electrical Engineering from KU Leuven and received a merit-based PhD grant from the Research Foundation – Flanders (FWO). -
Margarita Geleta
Graduate, Computer Science
BioMargarita Geleta is a computer science PhD student at University of California, Berkeley (major in Artificial Intelligence and minor in Human-Computer Interaction), and a graduate exchange student at Stanford University. Ms. Geleta received her M.S. in computer science at University of California, Berkeley.
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Michael Genesereth
Associate Professor of Computer Science
BioGenesereth is most known for his work on Computational Logic and applications of that work in Enterprise Management, Computational Law, and General Game Playing. He is one of the founders of Teknowledge, CommerceNet, Mergent Systems, and Symbium. Genesereth is the director of the Logic Group at Stanford and the founder and research director of CodeX - the Stanford Center for Legal Informatics.
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Chen Geng
Ph.D. Student in Computer Science, admitted Autumn 2023
BioI'm a CS Ph.D. student at Stanford, advised by Prof. Jiajun Wu. My research lies at the intersection between Graphics, 3D Vision, and Machine Learning. Previously, I got my bachelor's degree in Computer Science at the School of Computer Science and Chu Kochen Honors College, Zhejiang University. During my undergraduate, I was fortunate to work closely with Prof. Xiaowei Zhou and Prof. Jiajun Wu on several research projects.
You can find more information on my homepage: https://chen-geng.com -
Madison George
Ph.D. Student in Bioengineering, admitted Autumn 2023
Current Research and Scholarly InterestsExertional compartment syndrome (ECS) is a painful condition characterized by abnormally high muscle compartment pressures induced by exercise. The diagnostic procedure for ECS requires the insertion of a needle into the muscle to directly quantify pressure, which is a barrier to both patients and clinicians. We will develop and evaluate new MRI technologies to (1) increase understanding of the pathophysiology of this condition and (2) Improve clinical diagnosis of ECS.
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Antony Georgiadis
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsInterested in using light to improve our understanding of the world around us through novel optical sensing devices and computational techniques.
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J. Christian Gerdes
Professor of Mechanical Engineering, Emeritus
BioChris Gerdes is a Professor Emeritus of Mechanical Engineering at Stanford University. His laboratory studies how cars move, how humans drive cars and how to design future cars that work cooperatively with the driver or drive themselves. Vehicles in the lab include X1, a student-built electric, steer-by-wire test vehicle; Takumi, a modified Toyota Supra capable of autonomous drifting in tandem with another car; and Marty, the electrified, automated, drifting DeLorean. Chris' interests in vehicle safety extend to ethics and government policy, having helped to develop the US Federal Automated Vehicle Policy while serving as the first Chief Innovation Officer of the US Department of Transportation.
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Margot Gerritsen
Professor of Energy Resources Engineering, Emerita
Current Research and Scholarly InterestsResearch
My work is about understanding and simulating complicated fluid flow problems. My research focuses on the design of highly accurate and efficient parallel computational methods to predict the performance of enhanced oil recovery methods. I'm particularly interested in gas injection and in-situ combustion processes. These recovery methods are extremely challenging to simulate because of the very strong nonlinearities in the governing equations. Outside petroleum engineering, I'm active in coastal ocean simulation with colleagues from the Department of Civil and Environmental Engineering, yacht research and pterosaur flight mechanics with colleagues from the Department of Mechanical and Aeronautical Engineering, and the design of search algorithms in collaboration with the Library of Congress and colleagues from the Institute of Computational and Mathematical Engineering.
Teaching
I teach courses in both energy related topics (reservoir simulation, energy, and the environment) in my department, and mathematics for engineers through the Institute of Computational and Mathematical Engineering (ICME). I also initiated two courses in professional development in our department (presentation skills and teaching assistant training), and a consulting course for graduate students in ICME, which offers expertise in computational methods to the Stanford community and selected industries.
Professional Activities
Senior Associate Dean, School of Earth, Energy and Environmental Sciences, Stanford (from 2015); Director, Institute for Computational and Mathematical Engineering, Stanford (from 2010); Stanford Fellow (2010-2012); Magne Espedal Professor II, Bergen University (2011-2014); Aldo Leopold Fellow (2009); Chair, SIAM Activity group in Geosciences (2007, present, reelected in 2009); Faculty Research Fellow, Clayman Institute (2008); Elected to Council of Society of Industrial and Applied Mathematics (SIAM) (2007); organizing committee, 2008 Gordon Conference on Flow in Porous Media; producer, Smart Energy podcast channel; Director, Stanford Yacht Research; Co-director and founder, Stanford Center of Excellence for Computational Algorithms in Digital Stewardship; Editor, Journal of Small Craft Technology; Associate editor, Transport in Porous Media; Reviewer for various journals and organizations including SPE, DoE, NSF, Journal of Computational Physics, Journal of Scientific Computing, Transport in Porous Media, Computational Geosciences; member, SIAM, SPE, KIVI, AGU, and APS
