Andrew Jenkins

Title: Innovations by Andrew Jenkins

Introduction

Andrew Jenkins is an accomplished inventor based in Herndon, VA (US). He has made significant contributions to the field of predictive modeling, holding a total of 2 patents. His work focuses on techniques that enhance the accuracy and efficiency of prediction models.

Latest Patents

Andrew's latest patents include innovative techniques for deriving and leveraging application-centric model metrics. These techniques involve quantifying the accuracy of a prediction model that has been trained on a dataset parameterized by multiple features. The model operates in accordance with a theoretical performance manifold over an intractable input space. A key aspect of his work is determining which features are strongly correlated with the model's performance. Based on these features, parameterized sub-models are created to approximate the intractable input space. Prototype exemplars are generated for each sub-model, allowing the model to achieve a match with the respective sub-model. The accuracy of the model is quantified using these generated prototype exemplars. Additionally, Andrew has developed techniques for recommending a prediction model from a variety of trained models, linking input regions to features that define their performance manifolds.

Career Highlights

Andrew Jenkins is currently employed at Maxar Mission Solutions Inc., where he continues to innovate in the field of predictive modeling. His work has garnered attention for its practical applications and theoretical advancements.

Collaborations

Andrew collaborates with talented individuals such as Arnold Boedihardjo and Adam Estrada, contributing to a dynamic work environment that fosters innovation.

Conclusion

Andrew Jenkins is a notable inventor whose work in predictive modeling has led to valuable advancements in the field. His contributions are shaping the future of how prediction models are developed and utilized.