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I'm Sreedurga, a DeepMind Academic Fellow at the School of Informatics, University of Edinburgh. I recently obtained my PhD degree from Indian Institute of Science (IISc), Bangalore funded by Prime Minister Research Fellowship (PMRF). During my PhD, I worked at the Game Theory lab under the guidance of Prof. Y. Narahari. My thesis, titled "Exploring Welfare Maximization and Fairness in Participatory Budgeting" delves into the challenges of preference aggregation for budget allocation and proposes various algorithms and axioms in that context.

My expertise lies at the intersection of computer science and economics. Specifically, my research focuses on computational social choice, game theory, and algorithm design. I am also deeply intrigued by the potential applications of deep learning within game theoretic frameworks.

Interested areas:

Deep Learning for Game Theory

Algorithmic Game Theory

Computational Social Choice

Voting Mechanisms

Participatory Budgeting


Algorithm Design




I'm currently working on using deep learning for social choice models.



"I'm a great believer in luck, and I find that the harder I work, the more I have of it."



To see my research interview experiences and other stuff, please see my blog.

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