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Department of Management
London School of Economics and Political Science
Houghton Street
London WC2A 2AE



Shweta Agarwal

PhD student in Management Science


Shweta Agarwal is currently a PhD student (AXA Research Fellowship) at the London School of Economics in the Management Science group and is pursuing research in decisions under risk and uncertainty. She holds a M.A. in Mathematics from the University of Cambridge (2006) and a M.Sc. (Distinction) in Decision Sciences from the London School of Economics (2008). Her Masters thesis at Cambridge explored alternative mathematical approaches in the field of Mechanism Design, highlighting the limitations of quantitative methods when studying human behaviour. Her Master's thesis at LSE was a collaborative project with the Behavioural Finance Team at Barclays Wealth, in which she explored and modelled alternative measures of financial risk.


Ms Agarwal has worked on various projects for the Investment Philosophy & Products team at Barclays Wealth (2008-2009, Summer 2010), designing risk rating tools to evaluate the inherent risk in a diverse range of financial products and their suitability for clients with varying risk attitudes. She also worked as a part-time researcher for a consultancy, Decision Technology, with a focus on commercial applications of the psychology of human decision making.


Ms Agarwal has a strong passion for research and understanding the theoretical foundations of mathematical models that study human behaviour as well as their practical applications. She has attended a number of conferences in mathematical economics, game theory and cognitive science.

Research Interests

I am looking at expanding analytic methods of decision making to 'model' natural thought processes. The motivation for my research stems from the fact that current models of decision making cannot explain the attitude of managers to uncertainty as something that they believe they control/influence, and thus decide to voluntarily engage with it. I am particularly interested in integrating precepts of causal reasoning with (pragmatic) decision support systems and looking at modelling the role of actions as a way to affect uncertainty when it is 'controllable'. The research can potentially help bridge the gap between theorists and practitioners in their approaches to risk management techniques.



Graduate Teaching Assistant for

  • OR434 Principles of Decision Sciences
  • OR405 Advanced Behavioral Decision Making
  • OR436 Operations Management
  • OR202.1 Operations Research techniques.