Anjali Mazumder is the Thematic Lead on AI, Justice and Human Rights at the Alan Turing Institute for Data Science and Artificial Intelligence (UK), including projects on data science/AI to combat modern slavery and other exploitative crimes (and co-organiser of Code 8.7), statistics and the law, and bias measures/fairness methods in algorithms in justice. She is also an Assistant Research Professor in the Department of Statistics & Data Science and faculty affiliate in the Block Centre for Technology and Society at Carnegie Mellon University. Her research is motivated by solving fundamental data problems of societal importance, primarily in justice, the law, security, development and human rights. Her research focuses on latent variable and probabilistic graphical models to develop coherent decision support systems involving combination of complex, disparate and sparse data sources to inform policy/decision-making under uncertainty; causal inference in the wild/natural environment - observational data (where experiments are impractical/unethical and may include spatial temporal processes); and addressing statistical issues to quantify the value of evidence, likelihood of scenario or bias in databases or datasets used in prediction, inference or decision-making in justice.

She has over 15 years’ experience working at the interface of research, policy and practice in the UK, the US and Canada, having held positions at the Medical Research Council (UK), University of Warwick (UK), Forensic Science Service (UK), and the Institute for Work & Health (Canada). She was appointed to Canada’s National DNA Databank Advisory Committee in 2012; actively contributes to initiatives that promote the understanding of uncertainty and data science informed decision-making in policy; and fosters cross-sector and inter-disciplinary collaboration to strengthen knowledge capacity and scientific innovation, particularly in the realms of data science for social good. Anjali holds a doctorate in Statistics from the University of Oxford and two masters’ degrees: one in Measurement and Evaluation and one in Statistics, both from the University of Toronto.  

Anjali Mazumder will participate in the World Justice Forum working session Algorithms in Justice and Justice in Algorithms: Fairness to Whom?