Paul Dagum

Who is Paul Dagum?

Paul Dagum serves as Chief Scientist and Strategy Officer of

Business.com, overseeing technology strategy and innovation in

information retrieval, pricing and auction models, yield management and

search engine marketing.

Before joining

Business.com, Paul was at Mohr Davidow Ventures where he collaborated

with partners to evaluate high-impact business opportunities in

internet technology and medical devices.

Prior to

MDV, Paul was Co-Founder and Chief Science Officer at Rapt, an

enterprise-software company for profit optimization. At Rapt, Paul

managed all product development and led the innovation in algorithms

and analytics development. Prior to Rapt, Paul was at Stanford

University, where he was principal investigator (PI) on several NSF and

NIH grants. Among these, two National Science Foundation grants were

awarded to him to research and develop industry and medical

applications of decision theory. As PI, he led investigations in

probabilistic inference and decision optimization. Through his

research, Paul developed the fastest known Monte-Carlo algorithm – the

most commonly used general method to solve large-scale problems. He has

also made significant contributions in the areas of Bayesian networks,

probability forecasting and control, and randomized algorithm design

and analysis.

Paul served as a scientist at

Rockwell’s decision theory laboratory in Palo Alto, and was a visiting

scholar at the International Computer Science Institute in Berkeley.

Paul has over 60 peer-review publications in statistics, computer

science and biotechnology journals.

Paul received a Ph.D. in Theoretical Computer Science from the University of Toronto and an M.D. from Stanford University.