Austin, TX, United States of America

Audrey Strauss


Average Co-Inventor Count = 12.0

ph-index = 2

Forward Citations = 135(Granted Patents)


Company Filing History:


Years Active: 2001-2005

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2 patents (USPTO):Explore Patents

Title: Audrey Strauss: Innovator in Predictive Modeling

Introduction

Audrey Strauss is a notable inventor based in Austin, TX (US), recognized for her contributions to the field of predictive modeling. With a total of 2 patents, she has developed innovative methods that enhance the efficiency and accuracy of data-driven predictions.

Latest Patents

Audrey's latest patents include an automated method for building a model. This method involves training a predictive model with known relationships between input and output values. The process begins with training the model using a finite dataset, followed by inputting data to generate predictions that account for potential errors in the model. Another significant patent focuses on building a model of a system by extracting data from a historical database. This involves preprocessing the data to create a dataset that is utilized to construct a model defined by a series of transforms. The model interfaces with the historical database, allowing for the verification of variable names and predicted output values, ultimately enabling the control system to operate effectively.

Career Highlights

Audrey Strauss is currently employed at Pavilion Technologies, Inc., where she applies her expertise in predictive modeling. Her work has significantly contributed to advancements in the field, showcasing her innovative approach to data analysis and system modeling.

Collaborations

Audrey collaborates with talented individuals such as James David Keeler and Eric J Hartman, enhancing her projects with diverse insights and expertise.

Conclusion

Audrey Strauss stands out as a pioneering inventor in predictive modeling, with her patents reflecting her commitment to innovation and excellence in technology. Her contributions continue to shape the landscape of data-driven decision-making.

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