Grant Michael Boquet

Portrait of  Grant Michael Boquet

  • Email
  • Phone
    (925) 423-7608
  • Organization
    Not Available

I am a mathematician, statistician, project leader and a member of the Applied Statistics group. Prior to joining LLNL as staff member, I worked in industry for several years. Some notable research topics I worked on within industry include the application of machine learning and advanced statistical modeling towards problems in underwater acoustics, anomalous activity detection and multi-sensor detection/tracking/classification. I obtained my Ph.D. in Mathematics at Virginia Tech under the supervision of Joseph Ball.

Current Projects

My current projects center on the development of algorithmic approaches for exploitation of multi-modal imagery and machine learning algorithms that use the laboratory's high performance computers to tackle problems on massive data sets.

Research Interests

Statistical machine learning, classification anomaly detection, signal and image processing, statistical modeling, inference and data mining.

Professional Memberships

  • American Mathematical Society
  • Institute of Electrical and Electronics Engineers

Ph.D. Mathematics, Virginia Tech, Blacksburg, Virginia, 2010

M.S. Mathematics, Virginia Tech, Blacksburg, Virginia, 2008

B.S. Mathematics, Virginia Tech, Blacksburg, Virginia, 2005

J. A. Ball, G. M. Boquet, and V. Vinnikov, “A behavioral interpretation of Livšic systems,” Multidimensional Systems and Signal Processing 23 (1-2), pp. 17–48, 2012.

J. A. Ball and G. M. Boquet, “Controllability of Autonomous Behaviors and Livšic Overdetermined Systems as 2D Behaviors with Pure Autonomy Degree One,” Proc. of the International Symposium on Mathematical Theory of Networks and Systems, 2010.

J. A. Ball and G. M. Boquet, "Livšic realization of 2D-behaviors with degree one autonomy," Multidimensional (nD) Systems, nDS 2009, International Workshop on, 1-6, 2009.

Lawrence Livermore National Laboratory, Global Security Silver Award, 2013
Letter of Appreciation, U.S. Navy, 2013