Janice Lan

Title: Janice Lan: Innovator in Machine Learning and Digital Threat Mitigation

Introduction

Janice Lan is a prominent inventor based in San Francisco, CA, known for her contributions to the field of machine learning and digital threat mitigation. With a focus on developing innovative systems that enhance security in digital environments, she has made significant strides in her career.

Latest Patents

Janice holds 2 patents that showcase her expertise in creating advanced machine learning solutions. Her latest patents include systems and methods for configuring a subscriber-specific ensemble of machine learning models. These patents detail a machine learning-based system and method for identifying digital threats. The system implements a digital threat mitigation service over a distributed network of computers. It constructs a subscriber-specific machine learning ensemble that includes multiple distinct machine learning models, each configured to perform unique tasks for identifying digital threats or fraud. The process involves constructing a corpus of subscriber-specific digital activity data for training the models, training the ensemble using this data, and deploying the subscriber-specific ensemble.

Career Highlights

Janice is currently employed at Sift Science, Inc., where she continues to innovate in the realm of digital security. Her work focuses on leveraging machine learning to create effective solutions for identifying and mitigating digital threats.

Collaborations

Throughout her career, Janice has collaborated with notable colleagues, including Fred Sadaghiani and Alex Paino, contributing to a dynamic and innovative work environment.

Conclusion

Janice Lan's contributions to machine learning and digital threat mitigation highlight her role as a leading inventor in her field. Her innovative patents and ongoing work at Sift Science, Inc. position her as a key figure in advancing digital security technologies.