In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.

Featuring:

• Gavin Winston – LinkedIn, Website
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Links:

• Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study
• Machine Learning in Neuroimaging across Disciplines
• Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS
• Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure
• Deep learning in neuroimaging of epilepsy
• Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy
• Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data

Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).

Featuring:

• Robert Brennan – LinkedIn, X
• Graham Neubig – LinkedIn, X
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Links:

• All Hands
• All Hands on GitHub
• All Hands on Hugging Face

In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard.

Featuring:

• Pavel Veller – LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Links:

• EPAM
• DIAL
• SWE-bench results