Stanford University
Showing 51-100 of 307 Results
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Josué García Ávila
Ph.D. Student in Mechanical Engineering, admitted Summer 2022
Engineers Student, Mechanical EngineeringBioJosué García-Ávila, a highly accomplished individual from Guerrero, Mexico, boasts a strong educational background, having earned a Bachelor's degree in Mechatronics Engineering from Universidad Anáhuac and a Master’s degree in Manufacturing Systems from Tecnológico de Monterrey. As a graduate student in the Advanced Manufacturing Research Group, Josué excelled and was recognized with an academic scholarship from the National Council of Science and Technology of Mexico (CONACyT).
Josué's expertise in the field of engineering is further highlighted by his successful career in the automotive industry, where he worked as a Sr. Manufacturing Engineer (Machining & Assembly) at Bocar Group for several years. In addition to his professional achievements, Josué also demonstrated his commitment to making a positive impact, having lived in Costa Rica for two years where he dedicated himself to humanitarian work.
His passion for innovation and technology shines through in his current research interests, which include exploring the data-driven mechanics of architected, multifunctional, sustainable, soft, and stretchable materials to create mimetic artificial living matter for biomedical applications and beyond. His impressive research accomplishments are evidenced by his first-author publications.
Josué's dedication to his field and drive for success has not gone unnoticed. He has been awarded the EDGE Doctoral Fellowship, by nomination of the graduate admissions committee and most recently awarded the prestigious Claudio X. Gonzalez Graduate Fellowship to pursue PhD in Mechanical Engineering at the prestigious Stanford School of Engineering. -
Matthias Garten
Assistant Professor of Microbiology and of Bioengineering
BioMatthias Garten, Ph.D., is an assistant professor in the department of Immunology and Microbiology and the department of Bioengineering. He is a membrane biophysicist who is driven by the question of how the malaria parasite interfaces with its host-red blood cell, how we can use the unique mechanisms of the parasite to treat malaria and to re-engineer cells for biomedical applications.
He obtained a physics master's degree from the Dresden University of Technology, Germany with a thesis in the laboratory of Dr. Petra Schwille and his Ph.D. life sciences from the University Paris Diderot, France through his work in the lab of Dr. Patricia Bassereau (Insitut Curie) investigating electrical properties of lipid membranes and protein - membrane interactions using biomimetic model systems, giant liposomes and planar lipid membranes.
In his post-doctoral work at the National Institutes of Health, Bethesda in the laboratory of Dr. Joshua Zimmerberg, he used molecular, biophysical and quantitative approaches to research the malaria parasite. His work led to the discovery of structure-function relationships that govern the host cell – parasite interface, opening research avenues to understand how the parasite connects to and controls its host cell. -
Aimee Garza
Program Coordinator, Computer Science
Current Role at StanfordCS DEI Program Coordinator
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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 first-year CS Ph.D. student at Stanford. I'm advised by Prof. Jiajun Wu and affiliated with the Stanford Vision and Learning Lab. My research lies at the intersection between Graphics, 3D Vision, and Machine Learning. Specifically, I'm currently interested in physical scene understanding by inverting graphics engines.
Previously, I got my bachelor's degree in Computer Science from Zhejiang University in 2023, with an honors degree from Chu Kochen Honors College. During my undergraduate, I was fortunate to work closely with Prof. Xiaowei Zhou, Prof. Sida Peng and Prof. Jiajun Wu on several research projects.
You can find more information on my homepage: https://chen-geng.com -
Lequn Geng
Associate Director, California-Pacific-Northwest AI Hardware Hub, Electrical Engineering
BioLequn Geng is the Associate Director of the California-Pacific-Northwest AI Hardware Hub, one of the eight Microelectronics Commons Hubs established by the U.S. Department of Defense in 2023. In this role, he oversees the day-to-day operations of the Hub Central Office and an annual budget of over $10 million.
Prior to joining the Northwest-AI-Hub, Lequn Geng was a Research Development Specialist in the Stanford Research Development Office in the Office of the Vice Provost and Dean of Research. He helped professors across Stanford create competitive grant proposals to secure federal funding for large centers and strategic programs. During his tenure, he supported proposals to NSF, DOE, and DoD, leading to successful funding including for the Microelectronics Commons program.
Lequn Geng has a chemistry Ph.D. degree from the University of Michigan. -
Madison George
Ph.D. Student in Bioengineering, admitted Autumn 2023
Current Research and Scholarly InterestsWith my research I bridge the most prominent aspects of my life: academics and athletics. In undergrad, I completed a co-mentored interdisciplinary thesis to design the first women's pole vaulting shoes. Now, I am committed to improving biomedical imaging for musculoskeletal injury diagnoses, specifically dynamic imaging to create 3D models of areas of the musculoskeletal system and evaluate movement and function. My primary goals are to enhance performance and properly diagnose injuries.
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J. Christian Gerdes
Professor of Mechanical Engineering, Emeritus
BioChris Gerdes is a Professor of Mechanical Engineering at Stanford University and Co-Director of the Center for Automotive Research at Stanford (CARS). 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. When not teaching on campus, he can often be found at the racetrack with students, trying out their latest prototypes for the future. Vehicles in the lab include X1, an entirely student-built test vehicle; Niki, a Volkswagen GTI capable of turning a competitive lap time around the track without a human driver; and Marty, our 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 -
Farnaz "Naz" Ghaedipour
Postdoctoral Scholar, Management Science and Engineering
BioI am a postdoctoral scholar in the Department of Management Science and Engineering at Stanford University at the Centre for Work, Technology, and Organization (WTO), advised by Arvind Karunakaran. I earned my PhD in Management of Organizational Behavior and Human Resources from McMaster University, under Erin Reid’s supervision.
I study how technological changes in the organization of work (e.g., the advent of AI and digital platforms) and the rise of the gig economy combine with norms and ideal images of work (e.g., authenticity, passion, entrepreneurialism) to shape the structure, organization, and experience of work. I primarily use qualitative research methods, including interviews, participant observation, and ethnography. To approach the individual phenomena as embedded in the contextual structure, I often complement the data derived from interviews and observations with contextual information derived from secondary data sources (e.g., archival and walk-through data). Occupations studied include Instagram content creators, journalists, Upwork freelancers, software engineers, and graphic designers.
I was a finalist in the 2021 INFORMS/Organization Science Dissertation Proposal Competition and the recipient of the SSHRC post-doctoral fellowship (2022), Ontario Graduate Fellowship (2021), and the Ontario Graduate Scholarship (2020). -
Sadegh Ghorbani
Visiting Post Doc, Geballe Laboratory for Advanced Materials
Affiliate, Program-Heilshorn, S.BioA biotechnologist with a focus on protein-based hydrogels, aimed at exploring the intricate processes of neurogenesis, brain tumors, and the signaling pathways governing their cell-cell and cell-matrix adhesion. Through the utilization of customizable hydrogels that incorporate cell-adhesive sequences, our primary objective is to mimic the native microenvironment of the nervous system within 3D systems, allowing us to discern the intricate responses of cells on engineered and functional bio-interfaces. My work is driven by dual-core objectives. Firstly, I am committed to enhancing the treatment of peripheral nerve injuries by devising a therapeutic approach that is both efficient and effective. Secondly, I am involved in investigating the complex interactions between brain cancer cells and neuronal cells in precisely defined microenvironments.
#Biomaterials #Biointerface #Tissue_engineering #Neuroscience #Brain_tumors #Biotechnology #Cellular_biology