This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Sanofi Pasteur Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Philip Davidson - Innovator in Predictive Biological Systems
Introduction
Philip Davidson is an accomplished inventor based in Watertown, MA (US). He has made significant contributions to the field of predictive biological systems through his innovative work. His expertise lies in applying machine learning techniques to predict biological responses, which has important implications in various scientific and medical fields.
Latest Patents
Philip Davidson holds a patent for "Systems and methods for predicting biological responses." This patent describes systems and methods that utilize machine learning techniques to predict biological responses. One of the methods involves at least one processor executing executable logic, including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data. He has 1 patent to his name.
Career Highlights
Philip Davidson is currently employed at Sanofi Pasteur Inc., where he continues to develop innovative solutions in the field of biotechnology. His work is instrumental in advancing the understanding of biological responses and improving predictive models.
Collaborations
Some of his notable coworkers include Dustin Holloway and Mario Barro, who contribute to the collaborative environment at Sanofi Pasteur Inc. Their combined expertise fosters innovation and drives research forward.
Conclusion
Philip Davidson is a key figure in the realm of predictive biological systems, with a focus on machine learning applications. His contributions are paving the way for advancements in understanding biological responses, making a significant impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
