Stanford University
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Adrienne Propp
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a fourth year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests lie at the intersection of mathematics, data, and modeling, which has led me to a focus on scientific machine learning (SciML). Specifically, I am working on developing new graph-based surrogate modeling methods for low-data regimes. I am grateful to be advised by Daniel Tartakovsky, During my PhD, I have also collaborated with Jenny Suckale to model volcanic lava fountaining, and Susan Athey and Sanath Kumar Krishnamurthy to design improved algorithms for contextual bandits.
Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance. -
Alexander Pumerantz
Ph.D. Student in Political Science, admitted Autumn 2023
BioAn accomplished U.S. Air Force Captain and PhD student at Stanford University, I bring over eight years of leadership and expertise in defense acquisitions, cybersecurity, and emerging technology. I have directed critical initiatives to fortify multi-billion-dollar programs and helped pioneer the development of the first operational electronic warfare wing. My academic and professional journeys intersect at the critical nexus of technology, security, and international relations. I am passionate about fostering international cooperation and building bridges between technology and policy to secure a safer global environment.
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Gary Qian
Ph.D. Student in Management Science and Engineering, admitted Autumn 2021
BioI am currently a 2nd year PhD student in Management Science and Engineering at Stanford working with Professor Margaret Brandeau. My research focuses on the development of applied mathematical, economic models, and machine learning models to support health policy decisions. My recent work has been focused on HIV prevention and treatment programs, programs to control US opioid epidemic, and policies for minimizing spread of infectious diseases (including COVID-19).
I am passionate about using optimization theory and machine learning to implement scalable solutions in solving complex, real-world problems including but not limited to applications in healthcare. -
Julian Quevedo
Ph.D. Student in Computer Science, admitted Autumn 2026
BioResearcher at Stanford broadly interested in deep learning and the brain.
https://julian-q.github.io/ -
Emilee Quezada
Ph.D. Student in History, admitted Autumn 2026
BioEmilee Quezada is a first-year Ph.D. student in history, focusing on modern Latin American history, with an emphasis on twentieth-century Central America. Emilee is particularly interested in how student-led social movements and uprisings shaped revolutionary agendas, political transitions, migration, and transnational networks.
Prior to entering Stanford’s Ph.D. program, she earned a B.A. in History from UC Berkeley in 2024, where her research examined how a female combatant and commander in the Farabundo Martí National Liberation Front (FMLN) established political legitimacy in post-war El Salvador. -
Krishna Raghavan
Ph.D. Student in Chemistry, admitted Autumn 2024
BioKrishna is originally from the Detroit area of Michigan, and completed his undergraduate studies in biological chemistry and chemistry at the University of Chicago. He is currently a second-year PhD student concentrating in biophysical chemistry, in the lab of Prof. Bianxiao Cui.
