Mountain View, CA, United States of America

Michaela Hardt

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 11.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):

Title: Inventor Michaela Hardt: Pioneering Innovations in Predictive Modeling

Introduction

Michaela Hardt is a prominent inventor based in Mountain View, California, whose impressive work has resulted in three patents. Her innovations predominantly focus on predictive modeling and healthcare applications, paving the way for advancements in artificial intelligence and data analytics.

Latest Patents

Michaela has made significant contributions to the field with her latest patents, which include:

1. **Human-in-the-loop Interactive Model Training**: This patent describes a sophisticated method for training predictive models using a multitude of predicates represented as binary functions. It involves iterative training of a boosting model through generating random predicates, scoring them based on weighted information gain, and refining the model based on operator feedback. This process ensures continuous improvement in predictive capabilities.

2. **System and Method for Predicting and Summarizing Medical Events from Electronic Health Records**: This invention revolves around a revolutionary system that utilizes aggregated electronic health records to predict clinical events. By employing deep learning models, it analyzes vast data encompassing patient demographics and health conditions, ultimately delivering valuable summaries of pertinent past medical events and forecasting future clinical occurrences for healthcare providers.

Career Highlights

Michaela Hardt currently works with Google Inc., where her role entails leveraging advanced technologies to innovate solutions in data-driven fields. Her impactful research and inventions are instrumental in enhancing the accuracy of predictive analytics and improving healthcare outcomes.

Collaborations

Throughout her career, Michaela has collaborated with esteemed colleagues such as Kai Chen and Eyal Oren. Their teamwork has enabled the exploration of new frontiers in machine learning and healthcare applications, further solidifying Michaela's reputation as a thought leader in her field.

Conclusion

Michaela Hardt continues to make remarkable contributions to innovations in predictive modeling and healthcare solutions. Her patents not only exemplify her expertise as an inventor but also reflect a dedicated commitment to the betterment of health technologies. As her career progresses, Michaela is sure to remain a key figure in advancing the intersections of artificial intelligence and medicine.

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