This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Recursion Pharmaceuticals, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Hayley Jeton Donnella: Innovator in Clinical-Phenomics
Introduction
Hayley Jeton Donnella is a prominent inventor based in Austin, TX (US). She has made significant contributions to the field of clinical-phenomics through her innovative work. Her research focuses on utilizing advanced machine learning techniques to analyze gene perturbation data and clinical outcomes.
Latest Patents
Hayley holds a patent titled "Utilizing a clinical-phenomics causal discovery framework to generate causal discovery predictions." This patent involves systems, non-transitory computer-readable media, and methods that analyze gene perturbation machine learning embeddings and clinical observation data sets. The disclosed systems aim to generate causal predictions between genes and clinical outcomes by employing machine learning, explainability models, and causal discovery models.
Career Highlights
Hayley Jeton Donnella is currently associated with Recursion Pharmaceuticals, Inc., where she applies her expertise in machine learning and clinical data analysis. Her work is instrumental in advancing the understanding of gene interactions and their implications for clinical outcomes.
Collaborations
One of her notable coworkers is William Paul Bone, with whom she collaborates on various projects within the company.
Conclusion
Hayley Jeton Donnella's innovative contributions to clinical-phenomics and her patent in causal discovery predictions highlight her role as a leading inventor in the field. Her work continues to pave the way for advancements in understanding gene behavior and its impact on health outcomes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile