Curriculum Vitae

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Niall Keleher is a Postdoctoral Scholar and Lecturer at the Stanford Graduate School of Business and a Data Science Scholar in the Stanford Data Science Initiative. He is a member of the Golub Capital Social Impact Lab.

His research focuses on the intersection of data science for social good, causal inference, development economics, and information and communication technologies for development. Niall has over 10 years of experience conducting randomized evaluations and primary data collection in developing countries. During the course of his career, Niall has worked on research with financial institutions, development organizations, and online tech firms.

Other Professional Experience:

  • Director of Research Methods, Innovations for Poverty Action, 2012-2014
  • Country Director, Malawi, Innovations for Poverty Action, 2009-2011
  • Junior Professional Associate, The World Bank, 2006-2008


  • Data Science
  • Causal Inference
  • Survey Research
  • Development Economics


  • PhD - UC Berkeley School of Information (2019)
  • MPA/ID - Harvard Kennedy School (2006)
  • BA - The Johns Hopkins University (2003)
  • Diploma - JHU SAIS Europe (2002)

Service: IRB Board Member; Peer Review (Word Bank Economic Review, Journal of Development Economics, Journal of African Economies, National Science Foundation (NSF), IEEE/ACM Conference on Information and Communication Technologies and Development (ICTD), ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Social Informatics)