Samuel H Partee

Title: Innovations of Samuel H Partee

Introduction

Samuel H Partee is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of numerical modeling and optimization. His innovative work focuses on enhancing the efficiency of parameter tuning in complex systems.

Latest Patents

Samuel H Partee holds a patent for a "System and method for model parameter optimization." This invention provides a method and system for tuning parameters of a numerical model of a physical system. During operation, the system can obtain, using a machine-learning technique, a parameter-transform model for mapping parameters of the numerical model at a first resolution to parameters of the numerical model at a second resolution, the second resolution being higher than the first resolution. The system can perform a parameter-tuning operation on the numerical model at a first resolution to obtain a first set of tuned parameters and apply the parameter-transform model on the first set of tuned parameters to obtain a second set of tuned parameters at a second resolution. The system can then generate behavior information associated with the physical system by running the numerical model at the second resolution using the second set of tuned parameters. This patent showcases his expertise in integrating machine learning with numerical modeling.

Career Highlights

Samuel is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate and develop advanced technologies. His work has been instrumental in pushing the boundaries of what is possible in model optimization.

Collaborations

Samuel has collaborated with notable colleagues, including Michael F Ringenburg and Benjamin J Robbins. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Samuel H Partee is a notable inventor whose work in model parameter optimization exemplifies the intersection of machine learning and numerical modeling. His contributions continue to influence the field and inspire future innovations.