Cole Patola

Artificial Intelligence Researcher @Defined Bioscience

San Diego, CA, US

Developing deep learning models (CNN, U-Net) to analyze brightfield and fluorescence microscopy images for identifying differentiation stages and quality of stem cell-derived cultures (iPSCs, cardiomyocytes, organoids, etc)- Engineering a semi-automated quality control system supporting scalable stem cell manufacturing and product consistency- Building annotated biomedical image datasets, applied data augmentation techniques, and implemented model evaluation using accuracy, precision, recall, and confusion matrices- Designing a Python-based interface allowing users to upload, process, and visualize analysis results.

Ira A. Fulton Schools of Engineering at Arizona State University

Computer science, Engineering