Stanford University
Showing 301-400 of 525 Results
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Ross Snyder
Juris Doctor Student, Law
BioRoss Snyder was born and raised in Denver, Colorado. He graduated Summa Cum Laude from Georgetown University with a BA in History and Government in 2020. His research at Georgetown focused on the ways foreign policy influenced government responses to racial inequality in the United States. During his time at Georgetown, Ross was a national finalist for the Rhodes Scholarship, a junior inductee into Phi Beta Kappa, the founder and president of the Georgetown American Civil Liberties Union, closing attorney for the Georgetown Mock Trial A-Team, and the recipient of multiple competitive fellowships -- including the prestigious Presidential Fellowship at the Center for the Study of the Presidency and Congress. After his time at Georgetown, Ross completed an MPhil in Comparative Politics at St. Antony's College, University of Oxford. Under the supervision of Professor Desmond King, Ross completed a thesis on the ways small-scale uses of privilege contribute to the maintenance of racial and economic inequality in American cities. His research was awarded the Sara Norton Prize for the best work on American political institutions by the University of Oxford, and he graduated with distinction marks on his degree, qualifying exams, and thesis -- the highest marks awarded by the University. Ross also served as the founder and head editor of the Graduate Inequality Review while at Oxford, creating a forum for graduate students at the university to share their research on inequality. Ross began his JD at Stanford Law in the fall of 2022 and hopes to use the degree to further explore the intersections between the law and the perpetuation of inequality in the United States. After graduating, Ross hopes to work in public interest, exploring solutions to rising inequality and threats to American democracy.
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Tamara Nicole Sobomehin
Ph.D. Student in Education, admitted Autumn 2021
Ph.D. Minor, Comparative Studies in Race and Ethnicity
Other Tech - Graduate, GSE Dean's OfficeBioTamara Nicole Sobomehin is a PhD student at the Stanford Graduate School of Education, specializing in Learning Sciences and Technology Design, as well as Curriculum Studies and Teacher Education (Science, Engineering, and Technology). Alongside her four amazing children and husband, Olatunde, she centers the principles of Love and Ujima (collective work and responsibility) and works to advance social sustainability and restorative community and school design. Her research examines joyful learning, positive design, equity in Ed|TECH|Edu, and community-centered learning ecologies to generate scholarship and technologies that advance a praxis of care, connectedness, and creativity.
Tamara is passionate about empowering children with access to meaningful experiences that support interest and agency in their learning. She is serving her second term as an elected school board trustee for the Ravenswood City School District (2018-2022; 2022-2026) and is a co-founder and the Chief Education Officer at StreetCode Academy—an award-winning tech education organization with a mission to empower communities of color with the mindsets, skills, and access to participate in the innovation ecosystem. At StreetCode Academy, Tamara creates and supervises all learning initiatives, helping community members develop creative confidence and technical skills in coding, entrepreneurship, and design.
Tamara holds a BA in Psychology from Stanford University, an MEd in Educational Leadership and Policy Studies from the University of Texas, Arlington, and a PhD minor in Comparative Studies in Race and Ethnicity from Stanford University. -
Shamsi Soltani
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2021
BioShamsi Soltani is a PhD candidate in the Department of Epidemiology and Population Health and a trainee with the Center for Population Health Sciences, both in the Stanford School of Medicine. She is also a fellow in the Training in Advanced Data Analytics for Behavioral and Social Sciences (TADA-BSSR) program, supervised by Drs. Abby King and Lorene Nelson. Her dissertation work revolves around sleep as a modifiable risk factor for suicide in LGBTQ+ populations and is mentored by Drs. Rebecca Bernert and Mitchell Lunn.
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Shikhar Sood
MBA, expected graduation 2025
Bio- Management consultant for 6+ years across Bain's US, UK and Canada offices
- Passionate about fintech, luxury retail, customer experience, and its intersection with tech & AI
- Raised as a Third Culture Kid across Ethiopia, Nigeria, UK and India
- Father to 16 healthy houseplants
- Proudly queer
- Care about marginalized communities and their rights -
Matthew Steven Sosa
Master of Arts Student in Philosophy, admitted Autumn 2022
BioPhilosophy interests: philosophy of language, philosophy of action, metaphysics, philosophical logic, representation
Music interests: jazz improvisation, music theory -
Adrien Specht
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2024
BioI'm a PhD student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, mentored by Prof. Mignot. My research is at the intersection of artificial intelligence and sleep medicine, focusing on developing predictive models for circadian rhythms and sleep debt from proteomics data. I adopt a problem-oriented approach, selecting methods based on the data and research questions at hand. My techniques range from linear regression to sophisticated deep learning frameworks, aiming to extract maximal insights from the data. I also explore the use of unsupervised and semi-supervised learning, and am interested in the applications of multimodal and foundation models in biology.
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Kavya Sreedhar
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioKavya Sreedhar is an electrical engineering PhD candidate advised by Mark Horowitz. Her research interests include architecture design and developing hardware accelerators for cryptography and machine learning applications. On the cryptography side, she has worked on designing a fast extended GCD accelerator for constant-time modular inversion and verifiable delay functions. On the deep learning side, she is working on dynamically adapting the execution of state-of-the-art models for use in real-time systems and accelerating dynamic transformer models for computer vision in an ongoing collaboration with NVIDIA. She previously worked with the Agile Hardware (AHA) Project in developing Lake, a parameterizable memory generator that can be configured at runtime to support different image processing and machine learning applications. As part of her research, she has worked on taping out three chips in SKY130nm, GF12nm, and TSMC16nm. Kavya is supported by the Quad Fellowship (2023 to 2024) and Stanford's Knight-Hennessy Graduate Fellowship (2019 to 2022). She received a B.S. in Electrical Engineering and BEM (Business, Economics, & Management) from Caltech in 2019 and a M.S. in Electrical Engineering from Stanford in 2021.
