Katya Scheinberg

Title: Katya Scheinberg: Innovator in Data Processing Technologies

Introduction

Katya Scheinberg is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of data processing, particularly in the development of methods for recovering the structure of sparse Markov networks from high-dimensional data. With a total of 3 patents, her work has garnered attention in both academic and industrial circles.

Latest Patents

One of Katya Scheinberg's latest patents involves a method, information processing system, and computer-readable article of manufacture for modeling data. In this innovation, a first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on this receiving. A second dataset is then received, which includes a second set of physical world data. The second dataset is compared to the at least one data model, and a probability that the second dataset is modeled by the at least one data model is determined. If this probability exceeds a given threshold, a decision associated with the second dataset is generated based on the model. Both the probability and the decision are stored in memory and provided to the user via a user interface.

Career Highlights

Katya Scheinberg is currently employed at the International Business Machines Corporation (IBM), where she continues to innovate and develop new technologies. Her work has been instrumental in advancing the capabilities of data processing systems.

Collaborations

Throughout her career, Katya has collaborated with notable colleagues, including Narges Bani Asadi and Guillermo A Cecchi. These collaborations have further enriched her research and development efforts.

Conclusion

Katya Scheinberg is a trailblazer in the field of data processing, with a focus on innovative methods for modeling complex datasets. Her contributions continue to shape the landscape of technology and data analysis.