Jordan Michael Sorokin

Title: Jordan Michael Sorokin: Innovator in Machine Learning and Phenomic Imaging

Introduction

Jordan Michael Sorokin is a prominent inventor based in Fort Collins, Colorado. 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

Jordan holds a patent for a groundbreaking technology titled "Training and utilizing machine learning models to generate perturbation embeddings from phenomic images of cells, including neuronal cell images." This patent outlines systems, non-transitory computer-readable media, and methods that train and utilize machine learning models to create perturbation embeddings. The disclosed systems generate a perturbation embedding using an adapter model or a mixture of experts model, which combines phenomic embeddings from different models to create a comprehensive phenomap.

Career Highlights

Jordan is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in machine learning to advance the understanding of cellular images. His work is pivotal in enhancing the capabilities of machine learning models in the biomedical field.

Collaborations

Jordan collaborates with talented individuals such as Arin Minasian and Conor Austin Forsman Tillinghast, contributing to a dynamic and innovative work environment.

Conclusion

Jordan Michael Sorokin is a key figure in the intersection of machine learning and phenomic imaging, with a focus on developing advanced technologies that enhance our understanding of cellular processes. His contributions are shaping the future of biomedical research and innovation.