His research focuses on building scalable decision-making systems from large sources of data using techniques and principles from the disciplines of artificial intelligence and machine learning.

He worked at Morgan Stanley between 1994 and 1997 where he created the Data Mining Group that focused on predicting financial markets and customer behavior.

This discontinuity introduces some risks, specifically those around the errors made by such systems, which directly affect our degree of trust in them.

He writes regularly in the media on artificial intelligence, societal risks of AI platforms, data governance, privacy, ethics, and trust.

He has written over 100 research articles, funded by grants from industry and government agencies such as the National Science Foundation.