Miguel Velazquez-Palafox

Title: Miguel Velazquez-Palafox: Innovator in Deep Learning Particle Classification

Introduction

Miguel Velazquez-Palafox is an accomplished inventor based in Ashland, OR (US). He has made significant contributions to the field of deep learning and particle classification. His innovative work focuses on developing methods and systems that enhance the analysis of cell populations through advanced technology.

Latest Patents

Miguel holds a patent for a "Deep Learning Particle Classification Platform." This patent outlines methods and systems for a deep-learning platform designed to sort cell populations. The platform executes software associated with analyzing flow cytometry data obtained from an acquisition device. It sorts cell populations indicated in the flow cytometry data, utilizing user input to select a deep-learning module obtained via a network. The analysis involves applying a machine learning model trained on similar phenotype information, normalizing the data based on UMI counts, and presenting a graphical representation of the sorted cell populations.

Career Highlights

Throughout his career, Miguel has worked with notable companies such as FlowJo, LLC and Becton Dickinson and Company Limited. His experience in these organizations has contributed to his expertise in the field of deep learning and particle classification.

Collaborations

Miguel has collaborated with talented individuals, including Janice H Lai and Ian Taylor. These partnerships have further enriched his work and innovation in the industry.

Conclusion

Miguel Velazquez-Palafox is a pioneering inventor whose work in deep learning and particle classification has the potential to transform the analysis of cell populations. His contributions are significant in advancing technology in this field.