Event Speaker

Aakash Tripathi, PhD

Machine Learning Engineer

Moffitt Cancer Center

Aakash Tripathi is a Machine Learning Engineer at Moffitt Cancer Center, where he develops AI and data-driven computational tools to support oncology imaging, clinical research, and precision medicine. His work focuses on translating machine learning models into practical solutions that improve diagnostic insight, workflow efficiency, and patient-centered cancer care.

Sessions

Running Local LLMs Behind Institutional Firewalls: Hands-On Guide for Secure Clinical AI Learning Lab

Presented by Ghulam Rasool, PhD, Aakash Tripathi, PhD, Asim Waqas, PhD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 1:00 PM.

Large language models are increasingly used across radiology, pathology, and clinical workflows, but cloud-based models often conflict with patient privacy, HIPAA requirements, and institutional data governance. This Learning Lab addresses the growing need to deploy LLMs securely behind institutional firewalls while maintaining control, transparency, and compliance. Participants learn when and why local LLM deployment makes sense, including…