I am an Omidyar Postdoctoral Fellow at the Santa Fe Institute. My main areas of research are philosophy of science and formal epistemology. Broadly speaking, I am interested in using formal tools from machine learning and artificial intelligence to generate new insights in epistemology and philosophy of science. I also work on the epistemology of astrobiology, the relationship between risk and ignorance, and Bayesian confirmation theory. You can listen to me discuss several of my research projects on the Santa Fe Institute's Complexity Podcast.

I did my PhD in the Department of Philosophy, Logic and Scientific Method at the London School of Economics. My dissertation was about causal explanation, and specifically on issues concerning granularity of explanation, variable choice, and inter-theoretic relations between the various sciences. In 2014, I earned an MSc in Philosophy and Public Policy, also from LSE.

In addition to my research, I have taught as a Graduate Teaching Assistant at both LSE and King's College London. My teaching experience includes courses in Logic, Philosophy and Public Policy, Political Philosophy, Business Ethics, and Philosophy of Science.

Here is a copy of my CV. My e-mail address is david.kinneydontspamme@santafedontspamme.edu.

Peer-Reviewed Publications

Thanks to Chloe de Canson and Aron Vallinder for sharing this website template, and to Jon Kinney for suping it up.