Michelle Fritz

Title: Michelle Fritz and Machine-Learning-Guided Optical Cavity Tuning.

Introduction

Michelle Fritz is an inventor associated with Brooklyn, New York. Her patent work concerns applying machine learning to the tuning of optical cavities.

Latest Patents

Fritz is named on 1 patent, titled “Systems and Methods for Tuning Optical Cavities Using Machine Learning Techniques.” The invention describes an optical system and a method for tuning an optical cavity. A convolutional neural network analyzes a measurement signal from the cavity to assess its degree of misalignment, and a reinforcement learning model uses that assessment to determine a tuning parameter.

Career Highlights

Fritz is associated with Qunnect, Inc. Her patent reflects work at the intersection of optical systems and machine learning.

Collaborations

Fritz’s listed coworker is Mehdi Namazi. The patent’s approach combines optical-cavity measurements with machine-learning models to guide tuning.

Conclusion

Michelle Fritz’s patent focuses on using convolutional and reinforcement learning techniques to determine how to tune an optical cavity.