Bruce Boghosian, PhD, is a professor in the Department of Mathematics with secondary appointments in the Departments of Computer Science and Physics. He also co-directs the Data Analytics program in the School of Arts and Sciences. He was elected to Fellowship in the American Physical Society in 2000, named a Distinguished Scholar of Tufts University in 2010, a Fellow of the Jonathan M. Tisch College of Civic Life in 2018, and a Fellow of Tufts' Data Intensive Studies Center in 2019. He served as Chair of the Department of Mathematics at Tufts University from 2006 to 2010, and as President of the American University of Armenia from 2010 to 2014.
Prior to coming to Tufts, Boghosian had professional experience in academia, industry, and a national laboratory, as described below. Prior to that, he received BS and MS degrees from MIT (1978), and a PhD from the University of California, Davis (1987).
- 2019-present: Co-Director of Data Analytics Program, Graduate School of Arts and Sciences
- 2010-present: Adjunct Professor, Department of Physics, School of Arts and Sciences
- 2006-2010: Chair, Department of Mathematics, School of Arts and Sciences
- 2003-present: Adjunct Professor, Department of Computer Science, School of Engineering
- 2003-present: Professor, Department of Mathematics, School of Arts and Sciences
- 2002-2003: Associate Professor, Department of Mathematics, School of Arts and Sciences
- 2000-2002: Assistant Professor, Department of Mathematics, School of Arts and Sciences
President, American University of Armenia
- 2015-2017, 2019: Central Bank of Armenia
- 2016, 2019: Université de Paris-Sud
- 2008: École Normale Supérieure
- 2007: Peking University
- 2002-2006: University College London
Research Associate Professor, Center for Computational Science and Department of Physics, Boston University
Senior Scientist, Mathematical Sciences Research Group, Thinking Machines Corporation
Scientist, Lawrence Livermore National Laboratory
Current research emphasis is on mathematical models of economics in general, and agent-based models of wealth distributions in particular. The group's work has shed new light on the tendency of wealth to concentrate, and has discovered new results for upward mobility, wealth autocorrelation, and the flux of agents and wealth. The group's mathematical description of the phenomenon of oligarchy has also shed new light on functional analysis in general and distribution theory in particular.
Secondary projects include new directions in lattice Boltzmann and lattice-gas models of fluid dynamics, kinetic theory, and quantum computation.