Maureen Katherine Makes is a prominent inventor based in Salt Lake City, UT (US). She has made significant contributions to the field of generative machine learning, particularly in the area of microscopy representation. With a total of 2 patents, her work is paving the way for advancements in phenomic image analysis.

Latest Patents

One of her latest patents focuses on utilizing masked autoencoder generative models to extract microscopy representation autoencoder embeddings. This patent describes systems, non-transitory computer-readable media, and methods for training and utilizing generative machine learning models to generate embeddings from phenomic images. The disclosed systems can train a generative machine learning model to generate predicted phenomic images from masked versions of ground truth training images. Additionally, the systems utilize a momentum-tracking optimizer to enable efficient training on large-scale image batches. Fourier transformation losses with multi-stage weighting are also employed to improve the accuracy of the generative model during training.

Career Highlights

Maureen is currently associated with Recursion Pharmaceuticals, Inc., where she continues to innovate in her field. Her work is instrumental in enhancing the capabilities of generative machine learning models, which have broad applications in various scientific domains.

Collaborations

Some of her notable coworkers include Oren Zeev Kraus and Kian Runnels Kenyon-Dean. Their collaborative efforts contribute to the innovative environment at Recursion Pharmaceuticals.

Conclusion

Maureen Katherine Makes is a trailblazer in the realm of generative machine learning, with her patents reflecting her commitment to advancing technology in microscopy representation. Her contributions are vital for future developments in the field.