Company Filing History:
Years Active: 2025
Title: Michael Joseph Uloth: Innovator in Machine Learning and Perturbation Data Synthesis
Introduction
Michael Joseph Uloth is a notable inventor based in Dundas, Canada. He has made significant contributions to the field of machine learning, particularly in the synthesis of perturbation data. His innovative work has led to the development of advanced graphical user interfaces that enhance the understanding of cellular perturbations.
Latest Patents
Uloth holds a patent for a groundbreaking invention titled "Utilizing machine learning models to synthesize perturbation data to generate perturbation heatmap graphical user interfaces." This patent describes systems, non-transitory computer-readable media, and methods for embedding perturbation data via a machine learning model. The invention focuses on filtering, aligning, and aggregating embeddings to create a genome-wide perturbation database for real-time generation of perturbation heatmaps. The systems can process a variety of perturbation images portraying cells from multiple wells, generating well-level image embeddings and aligning them for further analysis.
Career Highlights
Michael Joseph Uloth is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in machine learning to advance the company's research initiatives. His work is pivotal in developing technologies that facilitate the understanding of complex biological systems through data analysis.
Collaborations
Uloth collaborates with talented individuals such as Marta Marie Fay and August Orvis Allen, contributing to a dynamic research environment that fosters innovation and discovery.
Conclusion
Michael Joseph Uloth's contributions to machine learning and perturbation data synthesis exemplify the impact of innovative thinking in the field of biotechnology. His work continues to influence advancements in understanding cellular behaviors and enhancing research methodologies.