Location History:
- Somerville, MA (US) (2012)
- Cambridge, MA (US) (2011 - 2014)
Company Filing History:
Years Active: 2011-2014
Title: Innovations of Geoffrey Catto
Introduction
Geoffrey Catto is an accomplished inventor based in Cambridge, MA (US). He has made significant contributions to the field of Bayesian belief networks, holding a total of 3 patents. His work focuses on simplifying causal influence models and enhancing probabilistic inferences.
Latest Patents
Geoffrey's latest patents include innovative methods and systems for constructing Bayesian belief networks. These methods aim to simplify a causal influence model that describes the influence of parent nodes on the possible states of a child node. The child node and each parent node can be represented as discrete Boolean, ordinal, or categorical nodes. Additionally, he has developed an apparatus for making probabilistic inferences based on a belief network. This apparatus utilizes a processing system to convert parameters of a causal influence model into entries of a conditional probability table, providing a probability distribution for the child node's possible states.
Career Highlights
Geoffrey Catto is currently employed at Charles River Analytics, Inc., where he continues to innovate and contribute to advancements in his field. His expertise in Bayesian belief networks has positioned him as a key figure in the development of new methodologies.
Collaborations
Some of Geoffrey's notable coworkers include Zachary T Cox and Jonathan Pfautz. Their collaborative efforts contribute to the innovative environment at Charles River Analytics, Inc.
Conclusion
Geoffrey Catto's work in Bayesian belief networks exemplifies the impact of innovative thinking in technology. His patents and contributions continue to shape the landscape of probabilistic modeling and inference.