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 C...
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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.
