Ming-Yu Fan

Title: **Ming-Yu Fan: Innovating Risk Determination Models**

Introduction

Ming-Yu Fan, an accomplished inventor based in Bellevue, WA, has made significant contributions to the field of risk assessment through her innovative patent. With her expertise and dedication, she continues to push the boundaries of technology and improve systems for evaluating risks in data transactions.

Latest Patents

Ming-Yu Fan holds a patent titled "Using Semi-Supervised Label Procreation to Train a Risk Determination Model." This patent details a sophisticated method for training risk determination models by leveraging both labeled and unlabeled data transactions. Her approach begins by accessing a first set of labeled data transactions, which are then used to train an initial risk model. By determining risk scores for a new set of unlabeled data transactions, Ming-Yu's method allows for the effective labeling of these data points, which can subsequently enhance the accuracy of a second risk determination model. The practical implications of her work enable organizations to make more informed decisions by approving or rejecting data transactions based on refined risk assessments.

Career Highlights

Ming-Yu Fan is currently employed at Microsoft Technology Licensing, LLC, where her passion for innovation and technology is evident in her work. Her role focuses on advancing methodologies related to risk determination, marking her as a valuable asset within a renowned technology organization responsible for shaping our digital landscape.

Collaborations

Throughout her career, Ming-Yu has collaborated with esteemed colleagues, including Cezary Antoni Marcjan and Hung-Chih Yang. These partnerships reflect her commitment to driving innovation and enhancing the effectiveness of new technologies in the field.

Conclusion

Ming-Yu Fan’s inventive spirit and her groundbreaking patent in risk determination exemplify the potential for advancements in data assessment. As she continues her journey at Microsoft Technology Licensing, her contributions are poised to influence both the industry and the larger field of technology, embodying the essence of innovation.