School of Engineering
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Ph.D. Student in Management Science and Engineering, admitted Autumn 2014
BioStephen Ragain is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
RESEARCH AREA: Operations Research
Stephen works on developing models for discrete choice or rankings. He focuses on choices and rankings made by humans, and try to make my models free of common assumptions that don’t hold for empirical data.
These models can be applied to better understand human preferences and predict human behavior.
Specific datasets he has used include rankings of candidates of elections, favorite types of SUSHI, and modes of transportation used for commuting.
Hatim A. Rahman
Ph.D. Student in Management Science and Engineering, admitted Autumn 2013
BioHatim A. Rahman is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
RESEARCH AREA: Work, Technology, and Organization
DISSERTATION TITLE: Understanding Social Dynamics in the Digital Economy: An Inductive Analysis of Relationships in an Online Labor Market
Hatim Rahman's dissertation explores the nature of work in the emerging digital economy. In contrast to research that emphasizes the importance of algorithmic matching and technical fit, his research theorizes work in online labor markets as collaborative, relational, and imperfectly defined in nature. He integrates a digital ethnography of an online labor market with a computational textual analysis of users’ discussion on community boards to demonstrate the social dynamics by which reputation systems have become inflated, the process market actors take to build relational contracts, and the different ways in which each actor uses features of the market to exert power. His dissertation has implications for the literature on technology affordances, power and resource dependence, external labor markets, relational contracting, market and platform design, and the emerging nature of work in the digital economy.
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
Student Resident Asst, Graduate Life Office
BioBernardo Ramos is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Finance
Research Abstract: Bernardo Ramos' current research interests are focused in the application of large-scale machine learning in financial applications. Currently, he is proposing a new technique that can make deep learning architectures be able to effectively make classification tasks to time series data. The main envisioned application is processing microsecond Limit Order Book (LOB) data for predicting future LOB behavior.
Ph.D. Student in Management Science and Engineering, admitted Autumn 2016
BioJason Rathje is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Innovation, Organizations and National Security
Jason is currently PhD student in the Stanford Technology Ventures Program (STVP) with a focus on strategy and policy. His research interests lie at the intersection of corporate strategy, innovation and national security. Specifically, he studies the evolution of the knowledge economy and how private vs. public R&D expenditure shifts have shaped technological impacts. This includes research in innovation ecosystems, big-data network analyses, and case-based research on technology entrepreneurship. He has always look forward to meeting and interfacing with individuals interested in the intersection of national security and innovation, so please do not hesitate to reach out to Jason!
Lecturer, Management Science and Engineering
Current Research and Scholarly InterestsDr. Robinson has a long-standing interest in crisis decision making, a subject that appears increasingly relevant as unintended consequences occur more frequently in a rapidly changing world. His dissertation on Crisis Decision Analysis identified concepts, processes, and tools that still have relevance today for crisis leadership strategies to improve preparedness and crisis management operations to improve responsiveness.