Maryam Fallah

Title: Maryam Fallah: Innovator in Machine Learning and Phenomic Imaging

Introduction

Maryam Fallah is a prominent inventor based in Toronto, Canada. She has made significant contributions to the field of machine learning, particularly in the context of phenomic imaging. With a total of three patents to her name, her work is at the forefront of technological advancements in this area.

Latest Patents

Maryam's latest patents include innovative systems and methods for training and utilizing machine learning models. One of her notable patents focuses on generating perturbation embeddings from phenomic images of cells, including neuronal cell images. This patent describes systems that utilize an adapter model or a mixture of experts model to generate these embeddings. Another significant patent involves using masked autoencoder generative models to extract microscopy representation autoencoder embeddings. This work emphasizes the training of generative machine learning models to produce accurate phenomic images from masked versions of ground truth training images.

Career Highlights

Maryam Fallah is currently employed at Recursion Pharmaceuticals, Inc., where she applies her expertise in machine learning and phenomic imaging. Her innovative approaches have the potential to revolutionize how researchers analyze and interpret cellular images.

Collaborations

Maryam collaborates with talented individuals in her field, including Mohammadsadegh Saberian and Oren Zeev Kraus. These collaborations enhance the impact of her work and contribute to the advancement of technology in machine learning and phenomics.

Conclusion

Maryam Fallah is a trailblazer in the realm of machine learning and phenomic imaging. Her patents and contributions to Recursion Pharmaceuticals, Inc. highlight her commitment to innovation and excellence in her field.