Stanford University
Showing 2,401-2,450 of 6,033 Results
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Leah Kahn
Ph.D. Student in Earth and Planetary Sciences, admitted Autumn 2024
BioI have broad interests in paleobiology and Earth history. My current research projects include quantifying body-size bias in biodiversity databases and studying reef ecology across the Late Devonian extinctions.
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Rita Kamani-Renedo
Ph.D. Student in Education, admitted Autumn 2021
Research Asst-Graduate, Humanities and Sciences InitiativesCurrent Research and Scholarly InterestsMy primary research sits at the intersections of im/migration, education, racialization, and language. I am an interdisciplinary scholar who draws on sociology, linguistic and educational anthropology, ethnic studies, and critical theory to examine and understand the experiences of im/migrant and transnational youth within educational contexts. I am also interested in thinking about how teachers can support their students' languages, literacies, and civic identities in classrooms. I am a former teacher of multilingual, recently-arrived im/migrant youth.
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Andrei Kanavalau
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioPhD candidate in Electrical Engineering at Stanford working across LLMs/Transformers, constrained optimization, and control.
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Hangoo Kang
Masters Student in Computer Science, admitted Autumn 2025
BioHangoo Kang is a computer science MS student at Stanford University with a strong interest in building trustworthy and efficient AI systems. He earned his B.S. in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His academic and research pursuits span reinforcement learning (RL), reinforcement learning from human feedback (RLHF), agentic AI, large language models (LLMs), and multi-modal models.
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Shreyas Kar
Masters Student in Computer Science, admitted Autumn 2023
BioShreyas is an undergraduate Computer Science and Math (double major) student and a researcher at Stanford Partnership in AI-Assisted Care (PAC - https://www.med.stanford.edu/pacresearch.html) group, as part of Stanford Vision and Learning (SVL) lab under Professor Fei-Fei Li and Professor Ehsan Adeli. He is interested in using Artificial Intelligence & Technology to better our community and environment. He founded a 501(c)(3) non-profit organization, Community AI (https://www.thecommunityai.org/), to unleash the power of artificial intelligence for social good and empower youth. Earlier, he worked for the PORTAL group at Harvard Medical School as a member of Research Science Institute (RSI). His research there focussed on quantifying the impact of EHR-Discontinuity on prediction modeling algorithms. His LinkedIn profile is: https://www.linkedin.com/in/shreyas-kar/
