Shubham Innani

I am a Research Data Analyst in the Division of Computational Pathology at the Indiana University School of Medicine, where I translate AI research into diagnostic and prognostic tools.

My work centers on developing interpretable deep learning models for whole-slide image analysis, from WHO 2021 glioma classification to prognostic risk stratification, bridging the gap between computational research and real-world pathology workflows.

Previously at UPenn, I built multimodal GBM prognostic models achieving AUC around 0.75 across multi-institutional cohort. My research has been published in Neuro-Oncology, Modern Pathology, Nature Scientific Reports, and presented at MICCAI, SNO, ECDP, and AACR.