Tenzin Yeshi

Title: Tenzin Yeshi: Innovator in Machine Learning for Product Formulation

Introduction

Tenzin Yeshi is a notable inventor based in New York, NY (US). She has made significant contributions to the field of machine learning, particularly in the area of product formulation. Her innovative approach combines technology and creativity to enhance product development processes.

Latest Patents

Tenzin Yeshi holds a patent for a "Method, system, and computer program product for representational machine learning for product formulation." This patent describes a method that accesses a set of product formulas, each containing ingredient tuples. A directed graph is generated from these formulas, which includes nodes for each ingredient. The method further develops a weighted graph and generates an embedding model based on the directed graph, allowing for low-dimensional numerical vector representations of each node. This innovative approach has the potential to revolutionize how product formulas are created and analyzed.

Career Highlights

Tenzin Yeshi is currently employed at International Business Machines Corporation, commonly known as IBM. Her work at IBM focuses on integrating advanced machine learning techniques into practical applications. With her expertise, she has contributed to various projects that aim to improve product formulation processes.

Collaborations

Tenzin has collaborated with notable colleagues, including Petar Ristoski and Richard Thomas Goodwin. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Tenzin Yeshi is a pioneering inventor whose work in machine learning for product formulation is paving the way for future advancements in the industry. Her contributions are not only valuable to her company but also to the broader field of technology and innovation.