Samantha Woodward

Title: Innovations of Samantha Woodward

Introduction

Samantha Woodward is an accomplished inventor based in New York, NY (US). She has made significant contributions to the field of technology, particularly in the area of data processing and analysis. With a total of 6 patents to her name, her work has garnered attention for its innovative approaches to handling complex datasets.

Latest Patents

One of her latest patents is titled "Multi-dimensional time series datasets." This method involves receiving a query for performing computational operations on multi-dimensional data sets that represent time series data collected in real-time from various sensors. The process includes identifying the location of these datasets in databases, retrieving them, and performing operations to generate outputs indicative of the states of technical systems over time.

Another notable patent is "Enhanced processing of time series data via parallelization of instructions." This invention outlines a method for processing time series data more efficiently by parallelizing instructions. It includes receiving a query that indicates the datasets and operations to be performed, identifying nodes associated with these datasets, and assembling them into a query tree. The instructions generated from this tree are then processed in parallel by compute systems, with results presented in a user interface.

Career Highlights

Samantha currently works at Palantir Technologies Inc., where she continues to innovate and develop new technologies. Her work has been instrumental in advancing the capabilities of data analysis and processing, making significant impacts in various technical fields.

Collaborations

Some of her notable coworkers include Benjamin Duffield and Thomas Powell, who collaborate with her on various projects at Palantir Technologies Inc.

Conclusion

Samantha Woodward's contributions to the field of technology through her patents and innovative methods highlight her role as a leading inventor. Her work continues to influence the way data is processed and analyzed in real-time applications.