Summary
Brandon Ginley is a Principal Engineer in AI/ML&DH with a PhD in Computational Cell Biology and a B.S. in Biomedical Engineering, bringing a decade of experience applying computer vision and machine learning to histopathology. He combines deep domain expertise in renal pathology with hands-on algorithm development for image segmentation and automation of tissue analysis, now driving AI efforts at Johnson & Johnson Innovative Medicine. His work bridges bench-to-software translation—reducing biopsy turnaround and augmenting pathologist workflows—rooted in extensive academic research and postdoctoral experience at the University at Buffalo. Comfortable moving models from research into regulated, clinical-adjacent environments, he has a rare blend of clinical perspective (former EMT) and computational rigor. That cross-disciplinary background informs pragmatic, impact-focused solutions aimed at improving diagnostic speed, consistency, and healthcare outcomes.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Cell Biology, Anatomy, and Pathology, Doctor of Philosophy - PhD, Computational Cell Biology, Anatomy, and Pathology at University at Buffalo
English, Latin