Mark S. Goldman received a Ph.D. in physics from Harvard University in 2000 and did his postdoctoral work in theoretical neuroscience at the Massachusetts Institute of Technology. He was an assistant professor of physics and computational neuroscience at Wellesley College from 2003 to 2007 before moving to the University of California, Davis, in 2008, where he is currently associate professor in the Department of Neurobiology, Physiology and Behavior and the Department of Ophthalmology and Vision Science. Professor Goldman’s research uses mathematical modeling and computer simulations to address the cellular, synaptic and circuit mechanisms underlying neurobiological functions such as memory storage and motor control. His work has spanned problems ranging from cellular biophysics to neural coding and network dynamics. A major interest of his has been addressing the cellular and network mechanisms by which neural circuits can maintain a running total of signals (temporal integral) over time in a short-term memory buffer — this work spans scales and approaches ranging from the cellular biophysics of individual dendritic branches of neurons, to identifying circuit motifs subserving short-term memory and neural integration in cortical networks, and modeling whole-circuit-level dynamics of short-term memory storage in the eye movement control system of zebrafish. At a higher level of biological organization, he has recently been modeling social decision making in the context of desert ant colonies that must make decisions about how many ants to commit to foraging for food in the arid desert climate.
His service to the neuroscience community includes serving as an action editor for the Journal of Computational Neuroscience, review editor for Frontiers in Computational Neuroscience and as the current co-director of the Marine Biological Laboratory’s Methods in Computational Neuroscience Course (2013–present). He is a former Alfred P. Sloan Research Fellow (2007) and was recently appointed a Howard Hughes Medical Institute professor (2014).