In this insightful episode, I sit down with Dr. Heather Collins, a cognitive neuroscientist and a keynote speaker with over 50 peer-reviewed publications, including work in The New England Journal of Medicine and the Proceedings of the National Academy of Sciences (PNAS). Dr. Collins specializes in translating brain research into real-world strategies, and her work spans from studying Alzheimer's disease to helping NASA astronauts maintain peak cognitive performance.

We discuss mastering attention by managing cognitive load and working in focused sprints, why multitasking decreases performance, the difference between working memory and long-term memory, and techniques for retaining information. Dr. Collins also shares Alzheimer's prevention strategies, early warning signs, and compassionate caregiving approaches.

In this fascinating episode, I sit down with Prof. Moran Cerf, a neuroscientist, Academic Director in Executive Education at Columbia University, and Alfred P. Sloan Professor at the American Film Institute. He holds a PhD in neuroscience from Caltech, an MA in Philosophy, and a BSc in Physics from Tel-Aviv University. Prof. Cerf holds multiple patents and has published five books and over 70 academic papers. His work has been featured on CNN, BBC, NPR, Time, Netflix Explained, and many other outlets.

We explore his journey from hacker to neuroscientist, his groundbreaking research recording single neurons during brain surgery to study consciousness and emotion, and how he studies and influences dreams. Prof. Cerf also discusses what makes content truly engaging, the future of brain–machine interfaces, and why mastering storytelling is one of the most valuable skills to develop.

Join me on this episode with my guest, Dr. Grace Lindsay, a computational neuroscientist and Assistant Professor of Psychology and Data Science at New York University. Dr. Lindsay leads the Lindsay Lab, where her team uses artificial neural networks as models of biological information processing to study the brain. We explore connections between CNNs and biological vision, her research on attention, and what computational models can and cannot tell us about the brain. Dr. Lindsay briefly discusses her book Models of the Mind, AI’s role in education, grid cells and navigation, and applications of machine learning to climate-related challenges.

In this episode, I speak with Dr. Daniel Ansari, Professor and Canada Research Chair in Developmental Cognitive Neuroscience and Learning at Western University in Ontario. Dr. Ansari leads the Numerical Cognition Lab, where he studies how children learn numerical and mathematical skills and why some experience difficulties such as dyscalculia. We discuss how the brain represents numbers, what distinguishes typical from atypical math development, common challenges associated with dyscalculia, evidence-based interventions, comorbidity with dyslexia and ADHD, and how neuroscience can help identify and support struggling learners. Dr. Ansari also shares insights on misconceptions about math learning and the role of education in shaping learning.

Join me as I sit down with Dr. Daniela Schiller, Professor of Neuroscience and Psychiatry at the Icahn School of Medicine at Mount Sinai, and a recipient of the Blavatnik Award, Klingenstein-Simons and Kavli Fellowships, and a Fulbright Scholar. We explore how the brain encodes and modifies emotional experiences like fear and trauma, what emotional flexibility means for mental health, and how emotional memories can be updated without drugs. Dr. Schiller also discusses how the brain navigates social relationships and the path from laboratory findings to real-world therapies.

In this episode, I sit down with Dr. Jim Davies, PhD, a cognitive scientist and professor at Carleton University in Ottawa, Canada. We explore how imagination works in the human mind, why some people experience vivid mental imagery while others don’t, and how Dr. Davies’ lab builds AI models that simulate visual imagination. From hyperphantasia and aphantasia to the future of 3D scene generation and imagination engines, this conversation uncovers the fascinating intersection of imagination and artificial intelligence.

Meet Dr. Charles H. Martin, PhD, founder of Calculation Consulting and inventor of WeightWatcher.ai, an open-source tool for analyzing deep neural networks. With over 15 years of experience building AI systems at companies including Google, eBay, and Walmart, he brings extensive experience applying machine learning across multiple industries. In this conversation, we explore natural language processing applications, the physics principles behind WeightWatcher, the role of Calculation Consulting in helping organizations make data-driven decisions, and practical uses of AI in fields from finance to robotics.

Join me as I chat with Dr. Peyman Shokrollahi, PhD, a research scientist in the Department of Radiology at Stanford University School of Medicine, specializing in AI applications for medical imaging. We explore how large language models (LLMs) and natural language processing (NLP) are transforming healthcare and radiology, discuss the key risks and ethical concerns of using ML in clinical settings, examine the challenges of model explainability in healthcare applications, and delve into the potential of AI chatbots for patient care.

Join me in this episode as I sit down with Sanya Rajpal, Founder and CEO of AdagioVR (adagiovr.com), for an enlightening conversation about how virtual reality is transforming mental healthcare. We explore her scientifically-based approach to addressing root causes of mental health challenges, the unique advantages and obstacles of VR therapy, and how AI can enhance personalized treatment while maintaining essential human oversight in vulnerable populations.

In this episode, I sit down with Ms. Tamanna Sait, an expert in scaling cloud infrastructure and AI/ML systems. We explore what AI infrastructure really means, the critical role of power and cooling in large-scale deployments, and key implementation challenges. Tamanna also shares her insights on the evolution of AI infrastructure.