Panelists: Dr. Clark, Professor in Neuroscience, UCSD; Dr. Mani, Professor in Computer Science, CMU; Dr. Geana, Researcher in Computational Cognitive Neuroscience, Brown.
⏰ Tuesday, May 20, 2025 | 5 pm Pacific, 8 pm Eastern
Curious about the differences between how humans and machines think, learn, and decide? Join us for a fascinating roundtable discussion featuring three faculty advisors from our research programs, each exploring the boundaries between neuroscience, AI, and more:
✔️ What makes human intelligence unique—and where machines are catching up
✔️ The limits of artificial systems in replicating memory, learning, and judgment
✔️ How computational neuroscience bridges biology and technology
✔️ How high school students can explore these questions through online research
Don't miss this opportunity to communicate directly with our professors! Register now to secure your spot!
Date: Tuesday, May 20, 2025
Time: 5 pm Pacific, 8 pm Eastern
Can't make it live? A replay will be available for you if you sign up!
Dr. Clark is a neuroscientist whose research focuses on how learning and memory work in the brain. Using both human and animal models, he explores the brain structures responsible for forming and storing memories—offering deep insight into what makes human cognition so powerful (and sometimes so fragile). His work combines cognitive science and neuroscience to better understand conditions like amnesia, and he brings a passion for helping students explore how biology shapes our minds.
Dr. Mani is an AI innovator and professor at Carnegie Mellon University, where he focuses on using artificial intelligence to scale human expertise and improve decision-making. With decades of experience in both academia and industry, he has built AI systems used in fields ranging from finance to early cancer detection. A pioneer in combining machine learning with real-world applications, Dr. Mani helps students think critically about the strengths—and current limitations—of the computational mind.
Dr. Geana works at the intersection of psychology, neuroscience, and computer science. Her research explores how humans make decisions and how we can model that behavior using computational tools. By studying both the biological brain and artificial systems, she helps bridge the gap between how people actually think and how machines simulate thinking. Dr. Geana mentors students interested in exploring how algorithms and the human mind influence each other—and how that understanding can shape the future of technology and mental health.