Arin Minasian

Title: Arin Minasian: Innovator in Machine Learning and Phenomic Imaging

Introduction

Arin Minasian is a prominent inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning, particularly in the context of phenomic imaging. His innovative work focuses on generating perturbation embeddings from images of cells, including neuronal cell images.

Latest Patents

Arin holds 1 patent for his groundbreaking invention titled "Training and utilizing machine learning models to generate perturbation embeddings from phenomic images of cells, including neuronal cell images." This patent describes systems, non-transitory computer-readable media, and methods that train and utilize machine learning models to generate perturbation embeddings. The disclosed systems can generate a perturbation embedding using an adapter model or a mixture of experts model. In some implementations, these systems utilize a mixture of experts model that combines phenomic embeddings from different embedding models to create a mixture of experts phenomap, which contains information from multiple embedding models.

Career Highlights

Arin is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in machine learning and phenomic imaging. His work at Recursion Pharmaceuticals is pivotal in advancing the understanding of cellular images and their implications in various research fields.

Collaborations

Arin collaborates with talented individuals such as Conor Austin Forsman Tillinghast and Jordan Michael Sorokin. These collaborations enhance the innovative environment at Recursion Pharmaceuticals and contribute to the development of cutting-edge technologies.

Conclusion

Arin Minasian is a notable inventor whose work in machine learning and phenomic imaging is shaping the future of cellular research. His contributions are essential in advancing the capabilities of machine learning applications in the life sciences.