Christina Storm

Title: Christina Storm: Innovator in Machine Learning and Organizational Structure

Introduction

Christina Storm is a prominent inventor based in Seattle, WA, known for her contributions to machine learning and organizational resource management. With a total of eight patents to her name, she has made significant strides in enhancing the efficiency of machine learning projects and understanding organizational structures.

Latest Patents

Among her latest patents is a method titled "Quick path to train, score, and operationalize a machine learning project." This innovative approach automatically detects and anticipates the need for additional machine learning experiments after successfully running a first experiment workflow. The method prompts users to confirm the necessity of an additional experiment and reconfigures the initial workflow accordingly. Another notable patent is the "Inference-based visual map of organizational structure and resource usage." This invention allows organizations to visualize their resource allocation and interrelationships through an interactive map, enhancing understanding and management of resources.

Career Highlights

Christina currently works at Microsoft Technology Licensing, LLC, where she applies her expertise in machine learning and organizational management. Her work has been instrumental in developing tools that streamline processes and improve decision-making within organizations.

Collaborations

Some of her notable coworkers include Pedro Ardila and Andrew James Peacock, who contribute to her innovative projects and research endeavors.

Conclusion

Christina Storm's work exemplifies the intersection of technology and organizational efficiency. Her patents reflect a commitment to advancing machine learning and resource management, making her a key figure in her field.