About Bayesian Intelligence

Overview

Bayesian networks are flexible and intuitive graphical models of systems of variables having unknown and uncertain interrelations. «Learn more»

People

• Ann E. Nicholson is an Associate Professor at Monash University who specialises in Bayesian network modelling. She is an expert in dynamic Bayesian networks, planning under uncertainty, user modelling, Bayesian inference methods, and knowledge engineering with Bayesian networks. Email: ann (dot) nicholson (at) bayesian-intelligence (dot) com
• Kevin B. Korb is a Reader at Monash University who specialises in the theory and practice of causal discovery of Bayesian networks (aka data mining with BNs), machine learning, evaluation theory, the philosophy of scientific method, and informal logic. Email: kevin.korb (at) bayesian-intelligence.com
  Kevin Korb and Ann Nicholson are also co-authors of a textbook Bayesian Artificial Intelligence (Chapman Hall / CRC Press, 2010). This book was chosen as an Outstanding Academic Title by Choice Magazine, a publication of the American Library Association, where selection is made based on "excellence in scholarship and presentation, the significance of their contribution to the field, and their value as important — often the first — treatment of their subject.'' Favourable reviews of this text have appeared in 5 international journals, including the Journal of the Royal Statistical Society A, 167(3), 572. Korb and Nicholson have developed and presented tutorials and short-courses on BN technology at conferences and to industry since 1999.
• Owen Woodberry is a PhD student whose thesis investigates the potential for evolutionary artificial life simulations for investigating various biological phenomena. He has a background in modelling ecosystems with Bayesian networks. Email: owen (dot) woodberry (at) bayesian-intelligence (dot) com
• Steven Mascaro is a researcher in computer simulation and Artificial Life and has recently received his PhD on applying techniques from these fields to evolutionary and ethical theories. He has extensive experience with web design and web application development and has worked on several projects involving the development and application of Bayesian networks. Email: steven (dot) mascaro (at) bayesian-intelligence (dot) com
• Nathalie Jitnah is a data specialist for the business intelligence company Prometheus Information. She has collaborated in the delivery of training courses to the Department of Health for the company's product. She has developed data analysis software at Medicare Australia. After a Phd in Bayesian Networks at Monash University, she held a postdoctoral fellowship. Prior to her postgraduate studies, Nathalie worked for Anderson Consulting.

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