Eiran Shalev

Title: Eiran Shalev: Innovator in Machine Learning Data Generation

Introduction

Eiran Shalev is an accomplished inventor based in Daly City, CA. He has made significant contributions to the field of machine learning through his innovative patents. With a total of 2 patents, Shalev is recognized for his work in generating complex data for training machine learning models.

Latest Patents

Shalev's latest patents include "Extensible agents in agent-based generative models" and "Generation of synthetic data using agent-based simulations." The first patent describes a system, method, and computer-readable medium for generating factual and/or counterfactual data. This innovation aims to enhance the complexity of data available for training machine learning models. The models may include agent-based models (ABMs) where agent definitions are decoupled from the simulation. Some agents may possess attributes and behaviors that allow them to be reused in different ABMs to simulate various systems. The second patent also focuses on generating factual and/or counterfactual data, improving the complexity of data for training machine learning models. It encompasses probabilistic graphical models (PGMs) and agent-based models (ABMs), and includes methods for scrubbing actual data to create a data model that conceals the content of the underlying source data.

Career Highlights

Eiran Shalev currently works at Capital One Services, LLC, where he applies his expertise in machine learning and data generation. His innovative approaches have positioned him as a key player in the development of advanced data models.

Collaborations

Shalev collaborates with talented colleagues, including Francisco Gutierrez and Matthew Tomaszewicz, contributing to a dynamic work environment that fosters innovation.

Conclusion

Eiran Shalev's contributions to machine learning and data generation are noteworthy. His patents reflect a commitment to enhancing the capabilities of machine learning models through innovative data solutions.