Robert Stubbs, PhD | Vice President, Research

Dr. Robert Stubbs is Vice President, Research at Axioma, Inc. Stubbs joined Axioma in 2000 and is currently the head of research at Axioma. He is responsible for leading the research team in the design of optimization modeling and algorithmic development for portfolio construction, the development of factor risk models for equities, and the development of other analytical tools that are incorporated into Axioma's products and services.

Dr. Stubbs has extensive optimization research and experience, with a focus on developing algorithms for solving large-scale network, linear, and integer programs. Stubbs developed our robust portfolio optimization technology and has made numerous contributions to classical portfolio optimization techniques such as developing a highly effective, specialized algorithm for solving portfolio rebalancing problems with a limit on the number of assets in the portfolio. In addition to improving portfolio optimization methodologies, Stubbs continues to develop new techniques and software in other areas of financial optimization such as crossing networks, asset-liability management, and cash management.

Before joining Axioma, Stubbs was an Optimization Software Developer for LINDO Systems, Inc., where he worked on developing and maintaining the algorithmic components of LINDO products. Prior to that, Stubbs worked for First National Bank of Chicago and AT&T. At First National Bank of Chicago, he developed a simulation model for computing the expected distribution of the loss in the corporate credit portfolio. The efficiency of this model enabled simulation of the entire credit portfolio. At AT&T, he developed an automated scheduling system that dramatically reduced the number of machine changes needed to color fiber optic cable.

Dr. Stubbs earned a Ph.D. in Industrial Engineering and Management Science and a Master of Science degree in Industrial Engineering and Management Science from Northwestern University, and a Bachelor of Science degree in Applied Mathematics from Auburn University. In his dissertation, Stubbs designed new algorithms for solving large-scale non-linear integer programming problems.


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