Event Speaker

Aditya Kulkarni, MSc.

Research Engineer

St. Jude Children's Research Hospital

Aditya Kulkarni is an engineer specializing in AI-driven medical imaging applications. He earned his Master’s in Robotics from Johns Hopkins University, where he worked as a graduate research assistant at the ARCADE Lab, applying AI to medical imaging. Currently, at the Paul Yi Lab at St. Jude Children’s Research Hospital, he focuses on advancing AI adoption in radiology by leveraging generative AI, synthetic data, and automation to enhance clinical workflows. His research aims to accelerate AI-driven innovations in medical imaging while ensuring safety, transparency, and robustness in real-world applications.

Sessions

AI Ecosystems in Imaging Scientific Research Abstracts

Presented by Preetham Bachina, MSE, Tyler Bradshaw, PhD, Mitchell Goldburgh, FSIIM, BSCS, Aditya Kulkarni, MSc., Mana Moassefi, MD in Pathology, Radiology Jun 10, 2026 | 5:15 PM.

Data Hygiene at Scale: A Contrastive Learning Framework for Auditing Data Provenance and Overlap Aditya Kulkarni, MS, Research Engineer, St. Jude Children's Research Hospital Khushang Zaveri; Dharmam Savani, MSc; Ammar Ahmed Pallikonda Latheef, MSc; Pritam Mukherjee, PhD; Jeremias Sulam, PhD; Paul Yi, MD Lost in Translation: International Limitations of Deep Learning Demographic Classifiers Developed on…