Eugene Yin-Chung Ting

Title: Innovations of Eugene Yin-Chung Ting

Introduction

Eugene Yin-Chung Ting is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning and its applications in biological data analysis. His innovative work has led to the development of a unique patent that enhances the understanding of cellular perturbations.

Latest Patents

Eugene Ting holds a patent 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 technology filters, aligns, and aggregates embeddings to create a genome-wide perturbation database for real-time generation of perturbation heatmaps. The systems can receive a variety of perturbation images portraying cells from multiple wells, generate well-level image embeddings, and align them to produce aligned well-level image embeddings. Furthermore, the systems aggregate these embeddings according to perturbations from various experiments to generate perturbation-level image embeddings, enabling detailed perturbation comparisons.

Career Highlights

Eugene Ting is currently employed at Recursion Pharmaceuticals, Inc., where he applies his expertise in machine learning to advance pharmaceutical research. His work focuses on leveraging technology to improve the understanding of biological systems and enhance drug discovery processes.

Collaborations

Eugene collaborates with notable colleagues, including Marta Marie Fay and August Orvis Allen. Their combined efforts contribute to the innovative research environment at Recursion Pharmaceuticals.

Conclusion

Eugene Yin-Chung Ting is a pioneering inventor whose work in machine learning and biological data analysis is shaping the future of pharmaceutical research. His patent demonstrates the potential of technology to transform how scientists understand cellular behaviors and perturbations.