David John Geddes

Title: David John Geddes: Innovator in Financial Market Data Processing

Introduction

David John Geddes is a prominent inventor based in Belfast, GB, known for his significant contributions to the field of financial technology. With a total of seven patents to his name, Geddes has developed innovative systems and methods that enhance the efficiency and accuracy of machine learning applications in financial markets.

Latest Patents

Among his latest patents is a groundbreaking invention titled "Pre-processing financial market data prior to machine learning training." This patent outlines systems and methods for pre-processing data to facilitate efficient and accurate machine learning. The process involves partitioning market data into windows, assigning categories to these windows, and generating a series of vectors. These vectors are then input into a computer system that executes a machine learning algorithm, enabling the efficient training of a neural network to identify structures or patterns within the data.

Another notable patent is "Deep learning for credit controls," which provides systems and methods to identify abnormal transaction activity by a participant that is inconsistent with current conditions. This invention utilizes a recurrent neural network to identify patterns in historical participant and external data. When a new transaction is received, it is compared against these patterns, and an abnormality score is generated. An alert is triggered if this score exceeds a predetermined threshold, thereby enhancing the monitoring of financial transactions.

Career Highlights

David Geddes is currently employed at the Chicago Mercantile Exchange Inc., where he applies his expertise in financial data processing and machine learning. His work has significantly impacted the way financial institutions analyze and respond to market data.

Collaborations

Geddes collaborates with talented professionals in his field, including Ari L Studnitzer and Inderdeep Singh. These collaborations foster innovation and contribute to the development of advanced financial technologies.

Conclusion

David John Geddes stands out as a key figure in the realm of financial technology, with his patents paving the way for more efficient data processing and machine learning applications. His contributions continue to shape the future of financial market analysis.