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Author: Lonnie Chrisman

Lonnie Chrisman

Lonnie Chrisman

Lonnie Chrisman, PhD, is Lumina's Chief Technical Officer, where he heads engineering and development of Analytica®. He has authored dozens refereed publications in the areas of machine learning, Artificial Intelligence planning, robotics, probabilistic inference, Bayesian networks, and computational biology. He was was in eighth grade when he had his first paid programming job. He was awarded the Alton B. Zerby award "Most outstanding Electrical Engineering Student in the USA", 1987. He has a PhD in Artificial Intelligence and Computer Science from Carnegie Mellon University; and a BS in Electrical Engineering from University of California at Berkeley. Lonnie used Analytica for seismic structural analysis of an extension that he built to his own home where he lives with his wife and raised four daughters: So, he really trusts Analytica calculations!

Author Posts

The imitation game

11/06/2023 | Blogs, Data mining, statistics, & AI

Does GPT-4 pass the Turing test?

In 1950, Alan Turing proposed “The Imitation Game”, today known as the Turing test, as a hypothetical way of measuring whether a computer can think…

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07/11/2023 | Analytica in the cloud, Business & finance, Case studies, Energy & power, Environment & climate, Portfolio management, Projects by consulting firms

Managing a portfolio of ESG projects

For Decision Strategies, Inc., the recommendation is clear: ‘Executives who are hesitant about using decision support systems should consider Analytica.’ Pointing executives…

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06/23/2023 | Blogs, Data mining, statistics, & AI, Risk & uncertainty, Videos

AI weekly updates with Lonnie Chrisman

Join Lonnie Chrisman every Thursday at 8 a.m. PT to hear his latest updates on what is happening in the artificial intelligence (AI) world.

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06/23/2023 | Decision analysis & multi-criteria, Modeling tips & tricks, Risk & uncertainty, Videos, Webinars

The value of knowing how little you know: When to leave for the plane (April 22, 2021)

Understand the Expected Value of Including Uncertainty (EVIU), compare with the Expected Value of Perfect Information (EVPI), and the insights it gives into a variety of problems.

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