Paul Dagum Joins Business. com as VP, Chief Scientist, Strategy Oficer
Technology visionary tapped to lead scientific innovation at largest B2B search engine.
Santa Monica, CA (PRWEB) May 15, 2006
Business. com, the leading search engine designed and organized for business, today announced that Paul Dagum has been named Vice President, Chief Scientist and Strategy Officer. In his new role, he will help analyze, define and execute on new product and service opportunities for the leading online resource for small business decision makers, which reaches more than 27 million professionals each month.
“I am thrilled to welcome Paul to Business. com, where he will play a tremendous role in shaping how we provide small businesses with the tools to manage and grow their operations,” said Jake Winebaum, Founder and CEO of Business. com. “Paul is a true authority on applying decision sciences to the business marketplace, and his expertise will complement and grow our core strength as a resource for business owners and decision makers.”
“Joining Business. com is an exciting opportunity to tackle what I consider the next frontier of decision sciences,” said Dagum. “This role provides a chance to apply abstract theories to the real-world problems faced by business owners. I look forward to supporting Business. com in its mission of helping small businesses identify solutions for their pressing challenges and opportunities. “
Dagum was previously at Mohr Davidow Ventures where he collaborated with partners to evaluate high-impact business opportunities in business intelligence, online advertising, search engine relevance, hedge fund performance, and medical devices. Prior to MDV, Paul was Co-Founder and Chief Science Officer at Rapt, an Accel-funded 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, Dagum was principal investigator on several National Science Foundation and National Institute of Health grants at Stanford University, including the research and development of industry and medical applications of decision theory. Through his research in probabilistic inference and decision optimization, 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.
Dagum has also served as scientist at Rockwell’s decision theory laboratory in Palo Alto, and was a visiting scholar at the International Computer Science Institute in Berkeley.
He received a Ph. D. in theoretical computer science from the University of Toronto and an M. D. from Stanford University. Dagum has authored more than 60 peer-review publications in statistics, computer science, engineering, and biotechnology journals.
Dagum will report directly to the CEO.
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