Christopher Allan Ralph

Title: Christopher Allan Ralph: Innovator in Data Privacy and Feature Discovery

Introduction

Christopher Allan Ralph is a notable inventor based in Toronto, Canada. He has made significant contributions to the fields of data privacy and feature discovery, holding a total of 5 patents. His work focuses on enhancing data security and improving the interpretability of data features.

Latest Patents

Ralph's latest patents include "Enhanced data privacy through structure-preserving autoencoder with latent space augmentation." This invention describes a method, system, and computer program product for generating refined synthetic data from various sources. The process involves receiving source data, generating encoded data, and decoding it to produce synthetic data while ensuring that certain variables maintain predetermined identifiability and anonymity values.

Another significant patent is "Interpretable feature discovery with grammar-based Bayesian optimization." This invention outlines a method for generating an interpretable set of features by defining search parameters and constraints on data received from multiple sources. The process includes extracting features, associating them with predictive score values, and iteratively refining the search based on feedback data.

Career Highlights

Christopher Allan Ralph is currently employed at Fair Isaac Corporation, where he continues to innovate in the realm of data analytics and privacy. His work has been instrumental in developing advanced methodologies that enhance data security and usability.

Collaborations

Ralph has collaborated with notable colleagues, including Gerald Fahner and Michael S Sossi, contributing to a dynamic and innovative work environment.

Conclusion

Christopher Allan Ralph is a distinguished inventor whose work in data privacy and feature discovery has led to significant advancements in the field. His contributions are shaping the future of data analytics and security, making him a key figure in the industry.