Marjan Albooyeh

Title: Marjan Albooyeh: Innovator in Machine Learning Monitoring

Introduction

Marjan Albooyeh is a notable inventor based in Toronto, Canada. She has made significant contributions to the field of machine learning through her innovative patent. Her work focuses on enhancing the monitoring of machine learning models, which is crucial for various applications in technology and data analysis.

Latest Patents

Marjan holds a patent for a "System and method for machine learning monitoring." This invention involves generating a time series of discrete time bins to monitor a machine learning model. For each time bin, the process includes generating data point labels using a labeling function, applying weak labels to incoming data, and comparing these labels to the output labels of the machine learning model. Additionally, it generates aggregate metrics for the time bins and identifies anomalies in these metrics, thereby improving the reliability and performance of machine learning systems.

Career Highlights

Marjan is currently employed at the Royal Bank of Canada, where she applies her expertise in machine learning to enhance financial technologies. Her role involves collaborating with other professionals to develop innovative solutions that leverage data analytics and machine learning techniques.

Collaborations

Marjan has worked alongside talented colleagues such as Francis Duplessis and Nathaniel Hopp. These collaborations have allowed her to expand her knowledge and contribute to various projects within the bank.

Conclusion

Marjan Albooyeh is a pioneering inventor whose work in machine learning monitoring is shaping the future of technology. Her contributions are vital for advancing the capabilities of machine learning applications in various industries.