School of Engineering
Showing 1-10 of 54 Results
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Stephen Ragain
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
RESEARCH ABSTRACT:
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
Hourly RA, Management Science and EngineeringBioHatim 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
RESEARCH ABSTRACT:
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. -
Bernardo Ramos
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
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.
