Anjali Mazumder

Rutherford Fellow, the Alan Turing Institute of Data Science and Artificial Intelligence

Anjali Mazumder is an Assistant Research Professor in the Department of Statistics and Data Science at Carnegie Mellon University. She is also a Rutherford fellow of the Alan Turing Institute of Data Science and Artificial Intelligence where she leads on projects pertaining to data science/AI for justice and human rights, including modern slavery, statistics and the law, and bias/fairness in algorithms in justice. Her research focuses on developing decision support systems involving combination of complex, sparse and disparate sources of data, causal inference from observational data, quantifying value of evidence, and managing bias and uncertainty. She has over 15 years’ experience working at the interface of research, policy and practice in the UK, the US and Canada, fostering cross-sector and interdisciplinary collaborations.

Recent Articles by this Author
Economics, Business Regulation and Supply Chains

Report on Research Findings and Recommendations on Child Labour, Forced Labour and Human Trafficking in Global Supply Chains Released Today

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Symposium: Tomorrow’s Slavery, Today | A Response

Urmila Bhoola
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Measurement and Statistical Methods

New Collaboration in the Global Effort to Fight Modern Slavery

United Nations University Centre for Policy Research, The Rights Lab
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Economics, Business Regulation and Supply Chains

Report on Research Findings and Recommendations on Child Labour, Forced Labour and Human Trafficking in Global Supply Chains Released Today

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Survivor and Victim Support

Symposium: Addressing Modern Slavery’s Root Causes

Jess Torres, Nat Paul
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Measurement and Statistical Methods

A Tool for Health Professionals to Gather Data on Forced Labour and Human Trafficking

Jordan Greenbaum
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