My home page is at http://research.microsoft.com/~horvitz/

My organization within Microsoft Research includes groups focused on machine learning and decision making, search and retrieval, human-computer interaction, ecommerce, hardware devices, computational theory, and cryptography.

Recent publications can be found here: http://research.microsoft.com/~horvitz/abstracts.htm

Several overviews for the general reader can be found here: http://research.microsoft.com/~horvitz/layreader.htm

Interests and Research

I'm interested in principles of sensing, inference, and decision making under uncertainty. My interests include human decision making and computational models of reflection and action.  Beyond theoretical models, I pursue applications in several realms, including time-critical decision making, scientific exploration, information retrieval, and healthcare--with goals of understanding how computational models perform amidst real-world complexities, and of deploying valuable systems.  Related interests include information triage and alerting that takes human attention into consideration, spanning work on notification systems, surprise modeling, multitasking, and psychological studies of interruption and recovery. Other interests include principles of mixed-initiative interaction that can support fluid, efficient collaborations between people and computing systems, methods for guiding computer actions in accordance with the preferences of people, search and information retrieval, and collaboration. I've also studied offline and real-time optimization of the expected value of computational systems under limited and varying resources. Areas of concentration in this realm include flexible or anytime computation, ideal metareasoning for guiding computation, compilation for reducing real-time deliberation, continual computation, and the construction of bounded-optimal reasoning systems--systems that maximize the expected utility of the people they serve, given the expected costs of reasoning, the problems
encountered over time, and assertions about a system's constitution. Research in this arena includes tackling hard reasoning problems with learning and decision making methods.

I'm serving as President of the Association for the Advancement of Artificial Intelligence -- AAAI (http://aaai.org). See AAAI's web site for more information on events in the AI community. News stories and introductory information on topics in AI are available at AAAI's AI Topics site: http://www.aaai.org/AITopics/