Company Filing History:
Years Active: 2025
Title: Innovations by Jennifer Seto Harper
Introduction
Jennifer Seto Harper is an accomplished inventor based in Hillsborough, NJ (US). She has made significant contributions to the field of predictive modeling, particularly in healthcare applications. Her work focuses on overcoming challenges related to data missingness, which is crucial for improving predictions in various medical contexts.
Latest Patents
Jennifer Seto Harper holds a patent titled "Overcoming data missingness for improving predictions." This patent discloses methods for training and deploying a predictive model aimed at generating predictions, such as patient eligibility for CAR-T therapy. The methods address the issue of missing data in datasets, which can hinder the effectiveness of predictive models. By leveraging comprehensive datasets, including closed claims datasets, she has developed innovative techniques to create training examples for machine learning algorithms. These methods allow for the simulation of data missingness and enable the deployment of predictive models that can still function effectively despite incomplete data.
Career Highlights
Jennifer is currently employed at Janssen Research & Development, LLC, where she continues to advance her research in predictive modeling. Her work has the potential to significantly impact patient care by improving the accuracy of predictions in healthcare settings.
Collaborations
Some of her notable coworkers include Rajarshi Roychowdhury and Smita Mitra, with whom she collaborates on various projects related to predictive analytics and healthcare innovations.
Conclusion
Jennifer Seto Harper is a pioneering inventor whose work in predictive modeling is making strides in the healthcare industry. Her innovative approaches to handling data missingness are essential for enhancing the accuracy of predictions, ultimately benefiting patient outcomes.