School of Engineering
Showing 101-200 of 296 Results
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Abhinav Jha
Masters Student in Management Science and Engineering, admitted Winter 2023
BioMS Candidate in Management Science and Engineering with an interest in M&A (specifically, post merger integrations). Past: Manager at Deloitte - worked on large technology transformations and managed programs to build scalable infrastructures for Fortune 50 companies in addition to leading M&A projects.
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Ramesh Manian
Masters Student in Management Science and Engineering, admitted Summer 2022
BioRamesh is a Principal Program Manager at Microsoft, where he works to help Fortune 500 companies with digital transformation of their modern work processes. He was a member of the founding team of TIBCO, a provider of integration and analytics solutions. He has founded several other startups in robotics, AI, and education. Ramesh is a life-long learner with diverse interests and currently interested on educating himself in biology and quantum computing, in addition to working toward his MS degree in MS&E.
He also ran Station Cafe, an Italian restaurant, in San Carlos between 2010 and 2014. -
Ayinwi Muma
Ph.D. Student in Management Science and Engineering, admitted Summer 2017
BioAyinwi is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Her research examines the emergence of new technological paradigms and evolution in work practices, routines, and capabilities of organizations. -
Liem M. Nguyen
Masters Student in Management Science and Engineering, admitted Autumn 2019
Current Research and Scholarly InterestsDevelopment of machine learning methods to identify structures and processes that promote high quality health care using large databases of electronic health record metadata.
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Minh Nguyen
Ph.D. Student in Biomedical Informatics, admitted Autumn 2018
Ph.D. Minor, Management Science and EngineeringBio@DARE fellow (Diversifying Academia, Recruiting Excellence) https://vpge.stanford.edu/people/minh-nguyen
@Data Science Scholar
https://datascience.stanford.edu/people/minh-nguyen -
Mateo PETEL
Masters Student in Management Science and Engineering, admitted Autumn 2023
BioMateo Petel is a Graduate Student studying Computational Sciences at Stanford University and École Normale Supérieure (ENS). He received his BSc (2021) in Applied Mathematics & Financial Engineering from the University of Paris-Dauphine, with First Class Honours. Mateo has extensive experience in academic research at HEC Paris (Prof. Landier), Harvard University (Prof. Pons), and Oxford University (Prof. Perera), and applied research at the European Space Agency (ESA), and NASA Jet Propulsion Laboratory (JPL).
Mateo is the co-founder of Le Ballon de l'Espoir, France's first national soccer competition for high-school students in support of non-profit organizations (5000+ participants in 2020).
Mateo is a recipient of several awards including the Fulbright - Monahan Foundation Scholarship (2023), the UN Women France Prize (2020), and the World Expo Young Climate Leader Award (2015). -
Amanda Pratt
Ph.D. Student in Management Science and Engineering, admitted Autumn 2022
BioAmanda Pratt is a Ph.D. student 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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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.
