John Pearson

John Pearson

Assistant Professor of Biostatistics and Bioinformatics

Education & Training

  • Ph.D., Princeton University 2004

  • B.S., University of Kentucky at Lexington 1999


My research focuses on the application of machine learning methods to the analysis of brain data and behavior. I have a special interest in the neurobiology of reward and decision-making, particularly issues surrounding foraging, impulsivity, and self-control. More generally, I am interested in computational principles underlying brain organization at the mesoscale, and work in my lab studies phenomena that range from complex social behaviors to coding principles of the retina.

Pearson, J., et al. “Tracing the string: BMN correspondence at finite J2/N.” Journal of High Energy Physics, vol. 7, no. 5, May 2003, pp. 477–87.

Kachru, S., et al. “Brane/flux annihilation and the string dual of a non-supersymmetric field theory.” Journal of High Energy Physics, vol. 6, no. 6, June 2002, pp. 387–411.

Braaten, E., and J. Pearson. “Semiclassical corrections to the oscillation frequencies of a trapped bose-einstein condensate.” Physical Review Letters, vol. 82, no. 2, Jan. 1999, pp. 255–58. Scopus, doi:10.1103/PhysRevLett.82.255. Full Text