Anna Rubinstein

Dr. Anna Rubinstein serves as the Director of Test and Evaluation for a Department of Defense (DoD) Artificial Intelligence (AI) program. She directs testing for AI models spanning the fields of computer vision, natural language processing, and other forms of machine perception. She leads teams developing metrics and assessing capabilities at the algorithm, system, and operational level, with a particular interest in human-machine teaming.

Dr. Rubinstein has spent the last five years supporting national defense as a contractor, largely focusing on model and system evaluation. In her previous role as a Science Advisor in the Defense Advanced Research Projects Agency’s (DARPA) Information Innovation Office (I2O), she provided technical insight to research programs modeling cyber operations in the information domain and building secure software-reliant systems. Before that, Dr. Rubinstein served as a Research Staff Member at the Institute for Defense Analyses (IDA), leading efforts to provide verification and validation of nuclear weapons effects modeling codes in support of the Defense Threat Reduction Agency (DTRA). Dr. Rubinstein also has several years of experience developing algorithms for atmospheric forecasting, autonomous data fusion, social network mapping, anomaly detection, and pattern optimization.

Dr. Rubinstein holds an M.A. in Chemical Engineering and a Ph.D. in Chemical Engineering and Materials Science from Princeton University, where she was a National Science Foundation Graduate Research Fellow. She also received a B.S. in Chemical Engineering, a B.A. in Chemistry, and a B.A. in Chinese, all from the University of Mississippi, where she was a Barry M. Goldwater Scholar.125%