My agenda is to use techniques from mathematics and computer science to generate effective decisions and actions.

This is a very exciting (though not controversial agenda). As computers become more powerful “obscure” mathematics become practical computer science. Topics that were only a few decades ago topics of graduate level studies (linear algebra, linear programming, convex optimization) are now routinely taught and used. More advanced methods (discrepancy based sampling, randomized algorithms, combinatorial optimization, machine learning) become practical every year. However, implementation is not straightforward and is the exciting challenge.