Pei Wang, Director of Research
Dr. Wang brings to us 15 years of experience in AI research, most of it focused on his Non-Axiomatic Reasoning System and associated practical and philosophical issues. He received his PhD under Douglas Hofstadter in the Indiana University Cognitive Science Program. Before joining Webmind he implemented AI systems for many different corporations, including Brightware and the Vanguard Group.

Jeff Pressing, Director of Financial AI
Since entering CalTech at the age of 15, Dr. Pressing has had a diverse and impressive research career spanning many areas including chemistry, physics, music, psychology, nonlinear dynamics and financial analysis. His particular areas of expertise include complex dynamical systems, particularly as applied to neural and behavioral systems; trading systems; nonlinear time series prediction; cognitive psychology; motor behavior and skill; psychology of music and auditory perception; economic psychology and the theory of decision making. Immediately prior to joining Webmind, Dr. Pressing was on the Psychology faculty at the University of Melbourne, and trading on the Australian financial markets using nonlinear-dynamics-based trading systems of his own invention.

John Cleary, Senior AI Scientist
A world authority in the area of machine learning, John has a long career spanning both academia and industry. In the 1980's he held faculty positions at Victoria University of Wellington (New Zealand) and University of Calgary, and then in 1989 co-founded the company Jade Simulations, of which he served as Chief Scientist until 1993, at which point he returned to New Zealand to the Computer Science Department at Waikato University. John and his colleague and close collaborator Ian Witten have built the Waikato CS Department into one of the leading, perhaps the leading, machine learning programs in the world. Text Compression, by Bell, Cleary and Witten, is the classic book on text compression, used throughout the world. John is expert in many areas of computer science, including machine learning, information theory, parallel and distributed systems, loss less text compression, and logic programming (including extensions such as temporal logic and logical arithmetic), and is the inventor of the programming language Starlog.