Mountain View, CA, United States of America

Lily Hao Yi Peng

This inventor holds 8 USPTO granted patents and 2 published patent applications and 4 EPO patents. Top assignee: Google Inc.. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lily Hao Yi Peng. Retrieved from https://idiyas.com/inventor/lily-hao-yi-peng

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 8 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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8 patents (USPTO):Explore Patents

Title: Celebrating Innovation: The Remarkable Contributions of Inventor Lily Hao Yi Peng

Introduction: Lily Hao Yi Peng, based in Mountain View, CA, is an accomplished inventor known for her pioneering work in the field of medical imaging. With a total of seven patents to her name, she has made significant advancements in utilizing machine learning for processing fundus camera images, thereby enhancing the capabilities of medical diagnostics.

Latest Patents: Among her most recent inventions, Lily's patents focus on two groundbreaking methods involving fundus image processing. The first patent, titled "Processing fundus camera images using machine learning models trained using other modalities," describes techniques for training machine learning models that can process fundus images to generate predicted labels. This process involves generating training data by receiving sets of training fundus images and assigning ground truth labels based on images captured through differing imaging modalities. The second patent, "Processing fundus images using machine learning models to generate blood-related predictions," details methods and systems for employing fundus image processing models to improve predictive healthcare outcomes.

Career Highlights: Currently, Lily is employed at Google Inc., where she applies her innovative approach to machine learning and medical imaging. Her work continues to significantly impact healthcare technology, exemplifying the intersection of artificial intelligence and medical research.

Collaborations: Throughout her career, Lily has collaborated with notable colleagues, including Dale R. Webster and Avinash Vaidyanathan Varadarajan. These partnerships reflect a team-oriented approach to innovation, bringing together a diverse range of expertise to propel advancements in the field.

Conclusion: In summary, Lily Hao Yi Peng stands out as a leading figure in technical innovation within medical imaging and machine learning. Her contributions are not only advancing the capabilities of fundus imaging but are also essential in improving patient care. As healthcare continues to evolve with technology, the influence of inventors like Lily will undoubtedly play a critical role in shaping the future of medical diagnostics.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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