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.
