- Ph.D. in Computer Science, Michigan State University. 2005-2010.
- M.A. in Philosophy, Michigan State University. 2003-2005.
- Honors B.A. in Philosophy, University of Michigan. 1995-1999.
- Assistant Professor, University of Wyoming, 2012-Present
- Postdoctoral Fellow, Cornell University, Departments of Computer Science and Mechanical and Aerospace Engineering, 2010-2012.
- Postdoctoral Scientist, BEACON Center for the Study of Evolution in Action, Michigan State University, Summer 2010.
I study evolutionary computation, a technology that harnesses natural
selection to evolve, instead of engineer, artificial intelligence,
robots, and physical designs. I am also interested in learning how
evolution produced the complex, diverse life on this planet. Here are
some keywords that describe fields I perform research in: evolutionary
algorithms (also known as genetic algorithms or evolutionary
computation), neural networks (including evolving neural networks,
having them learn, deep learning, and computational neuroscience),
robotics, artificial intelligence, and research into the evolution of
intelligence, complexity, evolvability, and altruism.
Clune J, Mouret J-B, Lipson H (2013) The evolutionary origins of modularity. Proceedings of the Royal Society B. 280: 20122863. http://dx.doi.org/10.1098/rspb.2012.2863
Clune J, Stanley KO, Pennock RT, Ofria C (2011) On the performance of
indirect encoding across the continuum of regularity. IEEE Transactions
on Evolutionary Computation. 15(3): 346-367.
Clune J, Pennock RT, Ofria C, Lenski RE (2012) Ontogeny tends to
recapitulate phylogeny in digital organisms. The American Naturalist.
Clune J, Goldsby H, Ofria C, Pennock RT (2011) Selective pressures for
accurate altruism targeting: Evidence from digital evolution for
difficult-to-test aspects of inclusive fitness theory. Proceedings of
the Royal Society. 278: 666-674.
Clune J, Misevic D, Ofria C, Lenski RE, Elena SF, and Sanjuan R (2008)
Natural selection fails to optimize mutation rates for long-term
adaptation on rugged fitness landscapes. PLoS Computational Biology
Clune J, Lipson H (2011) Evolving three-dimensional objects with a
generative encoding inspired by developmental biology. Proceedings of
the European Conference on Artificial Life. 144-148.
Clune J, Beckmann BE, Ofria C, and Pennock RT (2009) Evolving
coordinated quadruped gaits with the HyperNEAT generative encoding.
Proceedings of the IEEE Congress on Evolutionary Computing. 2762-2771.
Suchorzewski M, Clune J (2011) A novel generative encoding for evolving
modular, regular and scalable networks. Proceedings of the Genetic and
Evolutionary Computation Conference. 1523-1530.