Stanford University
Showing 4,101-4,120 of 6,033 Results
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Amanda Pratt
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioAmanda Pratt is a Ph.D. candidate in Management Science at Stanford University, where she is part of the Center for Work, Technology, and Organization. Her research interests include how organizations must change to adopt technology – particularly data and ML-based technologies - and how technology changes them. Prior to returning to school, Amanda was a Principal at Keystone Strategy, a technology-focused consulting firm. Amanda holds a bachelor's degree in engineering from Olin College, a master's degree in engineering from UC Berkeley, and an MBA from Harvard University.
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Greg Priest
BioI am a PhD candidate (ABD) in History of Science at Stanford. I focus on the history and philosophy of biology and the historical sciences, with particular interests in Charles Darwin and in the sciences of complex systems.
Before coming to Stanford, I was a lawyer, serving as a law clerk to Supreme Court Justice Thurgood Marshall and then representing Silicon Valley technology companies. I left the law for the software business, first as CFO of a publicly-traded software company, next as founding CEO of a software start-up, and finally as Chairman and CEO of a global, publicly-traded internet education company.
I did my undergraduate work at Princeton and got my law degree at Stanford. I also have a Masters of Liberal Arts from Stanford. I am married, have two children and one grandchild and am an avid hiker, skier, and cook. -
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.
