School of Engineering
Showing 901-1,000 of 2,461 Results
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Atindra Jha
Ph.D. Student in Electrical Engineering, admitted Autumn 2026
Research Engineer, Program-Leskovec, J.BioI am a PhD student advised by Jure Leskovec and Percy Liang. I work on efficient and performant large-scale distributed data processing (currently, agentic and mixed-modal inference), natural language processing, and machine learning. I also work with Stephanie Wang, Baris Kasikci, and Luke Zettlemoyer at the University of Washington. I completed by B.S. and M.S. in Computer Science at Stanford, advised by Prof. Mark Horowitz, and affiliated with the Portal Center, AHA! Agile Hardware Center, and the Stanford VLSI Group.
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Jikai Jin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2023
BioI am currently a Ph.D. student of the The Institute for Computational and Mathematical Engineering (ICME) at Stanford university. Prior to joining Stanford, I obtained my bachelor degree in computational mathematics at the School of Mathematical Sciences, Peking University, fortunately having Prof. Liwei Wang as my research advisor. My research is highly interdisciplinary across machine learning, statistics, operations research. While primarily focusing on theoretical aspects, the ultimate goal of my research is to develop state-of-the-art solutions for important real-world problems.
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Riley Juenemann
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioThird-year Computational and Mathematical Engineering (ICME) PhD Candidate @ Stanford University passionate about research at the intersection of mathematics, computing, and biology.
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Ronald "Ronny" Junkins
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2026
BioI'm an incoming PhD student at Stanford at the Institute of Computational and Mathematical Engineering (ICME). Before that, also at Stanford, I completed my master's degree in computer science and my bachelor's degree in mathematics.
Broadly, I am interested in deep learning theory, including developing interpretable machine learning models and mathematics which helps explain their behavior. Currently, I am working on tabular foundation models. If you are interested in collaborating, please feel free to reach out! -
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/
