Singularity Institute

Research Associates

Research Associate

Daniel Dewey works on the theory of artificial general intelligence. His current research focuses on optimality notions for physically implemented AGI, motivated self-deception, and goal safety. Daniel has a B.S. in Computer Science from Carnegie Mellon University. You can find more of his work at danieldewey.net.

Email: dewey(at)singinst(dot)org

Research Associate

Vladimir Nesov is interested in developing decision theory as theoretical foundation for reasoning about human values and goal stability in artificial agents. He has an M.S. in Applied Mathematics and Physics from Moscow Institute of Physics and Technology. He currently works as a software engineer specialized in compiler technologies.

Email: nesov(at)singinst(dot)org

Research Associate

Tyrrell McAllister received a PhD in mathematics from the University of California at Davis. He is currently an assistant professor of mathematics at the University of Wyoming. He is interested in the epistemological and ontological implications of decision theory for agents with indexical uncertainty.

Email: tyrrell(at)singinst(dot)org

Research Associate

Paul Christiano studies mathematics at the Massachusetts Institute of Technology. Some of his writings on AI, Friendly AI, economics, mathematical logic, and decision theory can be found at the blog Ordinary Ideas.

Email: paul.christiano(at)singinst(dot)org

Research Associate

Vladimir Slepnev is interested in formalizing decision theory using methods from mathematical logic and computability theory. He holds an M.S. in mathematics from Moscow State University and currently works at Google.

Email: slepnev(at)singinst(dot)org

Research Associate

Joshua Fox studies the theory of superintelligence, developing models of agents with greater than human optimization power. He has served as a software architect at various start-ups and growth companies, and now works at IBM leading the development of a major software products. He holds a BA summa cum laude in mathematics from Brandeis University and a PhD from Harvard University.

Email: joshua.fox(at)singinst(dot)org

Research Associate

Steve Rayhawk is a researcher interested in applying computational Bayesian decision theory to problems in technological forecasting, risk management policy, and social epistemology. He holds a degree from the mathematics program of the UC Santa Barbara College of Creative Studies. He previously has worked for several years at San Diego State University on statistical methods for the application of high-throughput bioinformatics to microbial ecology. He is working on identifying and projecting the development of technologies relevant to Singularity scenarios.

Email: steve.rayhawk(at)singinst(dot)org

Research Associate

Peter de Blanc is an AI researcher who studies machine learning and goal systems. He keeps SIAI up to date on published AI research. He has written three papers on goal systems for decision-theoretic agents, including "Convergence of Expected Utility for Universal AI" and "Ontological Crises in Artificial Agents' Value Systems." He has also written about statistics, graph theory, and elections on his blog "Space and Games." He holds an MA in mathematics from Temple University.

Email: pdeblanc(at)singinst(dot)org

Research Associate

Janos Kramar is a researcher interested in technological forecasting using Bayesian modelling. He holds a BSc in mathematics from the University of Toronto. He has worked as a software developer, and is now a PhD student in Statistics at Harvard University. He is currently studying machine learning.

Email: janos.kramar(at)singinst(dot)org