Elizabeth Fons

Title: Innovations by Elizabeth Fons

Introduction

Elizabeth Fons is a notable inventor based in London, GB. She has made significant contributions to the field of data retrieval through her innovative methods and systems. Her work focuses on enhancing the efficiency of multi-modal time-series data retrieval.

Latest Patents

Elizabeth Fons holds a patent for a "Method and system for multi-modal time-series retrieval through latent space projections." This invention provides a method and system for using multi-modal time-series data retrieval through latent space projections to efficiently capture and store time-series data. The method includes generating a synthetic set of time-series data and corresponding textual descriptions. It also involves using the synthetic data to generate images, training an image encoder to learn a shared latent space, and training a text encoder with textual descriptions. The system is designed to receive historical time-series data, store it in a database, generate an index for identifying information, and retrieve relevant information based on user queries.

Career Highlights

Elizabeth is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in data retrieval and analysis. Her innovative approach has positioned her as a valuable asset in her field.

Collaborations

Elizabeth has collaborated with talented individuals such as Andrea Coletta and Sriram Gopalakrishnan. These collaborations have further enriched her work and contributed to the development of her innovative solutions.

Conclusion

Elizabeth Fons is a pioneering inventor whose work in multi-modal time-series data retrieval has the potential to transform how data is captured and utilized. Her contributions to the field are noteworthy and reflect her commitment to innovation.