Cecilia Meijer

Title: Cecilia Meijer: Innovator in Socioeconomic Data Prediction

Introduction

Cecilia Meijer is a prominent inventor based in Weston, MA (US). She has made significant contributions to the field of socioeconomic data analysis through her innovative patent. Her work focuses on developing systems that enhance the prediction of socioeconomic parameters, which can have far-reaching implications in various sectors.

Latest Patents

Cecilia holds a patent titled "Prediction model preparation and use for socioeconomic data and missing value prediction." This patent describes a system designed to prepare and utilize prediction models for socioeconomic data and to predict missing values. The system is capable of extracting training sets of socioeconomic parameter values from received population segment data. It provides input to a prediction model to forecast additional parameter values without relying on those values. The model is trained using reference feedback from the training sets, allowing it to predict additional values based on a working set of parameter values for a population segment.

Career Highlights

Cecilia is associated with Koninklijke Philips Corporation N.V., where she applies her expertise in data prediction and analysis. Her innovative approach has positioned her as a key player in her field, contributing to advancements in how socioeconomic data is processed and utilized.

Collaborations

Cecilia has collaborated with notable colleagues, including Xin Wang and Eran Simhon. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions in socioeconomic data prediction.

Conclusion

Cecilia Meijer is a trailblazer in the realm of socioeconomic data prediction, with her patent reflecting her commitment to innovation. Her work not only advances the field but also provides valuable tools for understanding and predicting socioeconomic trends.