San Francisco, CA, United States of America

Tyler Rhodes


Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 34(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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3 patents (USPTO):Explore Patents

Title: The Innovations of Tyler Rhodes

Introduction

Tyler Rhodes is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in medical diagnosis. With a total of 3 patents, his work focuses on improving the accuracy and reliability of machine learning models.

Latest Patents

Tyler's latest patents include two key innovations in the validation of machine learning models. The first patent, titled "Validating a machine learning model after deployment," emphasizes the importance of post-deployment validation to reduce misdiagnoses in medical applications. This process involves monitoring the model's performance against a reference model and detecting anomalies in data. The second patent, "Validating a machine learning model prior to deployment," outlines a pre-deployment validation process that ensures models achieve high performance before they are used in real-world scenarios. This proactive approach helps prevent low-performing models from being deployed, ultimately enhancing patient safety.

Career Highlights

Throughout his career, Tyler has worked with notable companies such as Verily Life Sciences LLC and Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in machine learning technology.

Collaborations

Tyler has collaborated with talented individuals in the field, including Peter Wubbels and Jin Zhang. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.

Conclusion

Tyler Rhodes is a visionary inventor whose work in machine learning is paving the way for safer medical diagnoses. His patents reflect a commitment to improving the accuracy of technology in healthcare, making a significant impact on the industry.

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