Afrah Shafquat

Title: Innovations by Afrah Shafquat

Introduction

Afrah Shafquat is an accomplished inventor based in Jericho, NY (US). She has made significant contributions to the field of data science and synthetic dataset generation. With a total of two patents to her name, her work is paving the way for advancements in data analysis and healthcare.

Latest Patents

Afrah's latest patents include a "System and method for generating a synthetic longitudinal dataset from an original dataset." This innovative method involves identifying subsequence patterns in records that define event sequences for patients. The process includes determining feature vectors that characterize the records based on these patterns, embedding them in a lower-dimensional space, and iteratively selecting seed records to form modified seed records. The modified records are then combined to create a synthetic dataset.

Her other patent, titled "System and method for generating a synthetic dataset from an original dataset," outlines a method for encoding categorical features of the original dataset. This method involves embedding the encoded dataset in a low-dimensional space, selecting a seed record, identifying nearest neighbor records, and generating new records by randomly selecting features from these neighbors. This process is repeated to create a synthetic dataset that may contain a different number of records than the original dataset.

Career Highlights

Afrah Shafquat is currently employed at Medidata Solutions, Inc., where she applies her expertise in data science to develop innovative solutions. Her work focuses on enhancing the capabilities of synthetic datasets, which are crucial for various applications in healthcare and research.

Collaborations

Afrah collaborates with talented individuals such as Jacob Aptekar and Mandis S Beigi. These collaborations foster a creative environment that drives innovation and enhances the quality of their projects.

Conclusion

Afrah Shafquat is a notable inventor whose work in synthetic dataset generation is making a significant impact in the field of data science. Her patents reflect her commitment to advancing technology and improving data analysis methods.