Steven Strogatz

Promise and controversy continues to surround string theory as a potential unified theory of everything. In the latest episode of The Joy of Why, Cumrun Vafa discusses his progress in trying to find good, testable models hidden among the ‘swampland’ of impossible universes.

Geometry may have its origins thousands of years ago in ancient land surveying, but it has also had a surprising impact on modern physics. In the latest episode of The Joy of Why, Yang-Hui He explores geometry’s evolution and its future potential through AI.

AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.

Quantum gravity could help physicists unite the currently incompatible worlds of quantum mechanics and gravity. In this episode, Monika Schleier-Smith discusses her pioneering experimental approach, using laser-cooled atoms to explore whether gravity could emerge from quantum entanglement.

Despite the hype, it’s been surprisingly challenging to find quantum algorithms that outperform classical ones. In this episode, Ewin Tang discusses her pioneering work in “dequantizing” quantum algorithms — and what it means for the future of quantum computing.

One of the most important events in the history of life on Earth was the emergence of multicellularity. In this episode, Will Ratcliff discusses how his snowflake yeast models provide insight into what drove the transition from single-celled to multicellular organisms.

Steven Strogatz and Janna Levin return for a new season on major scientific and mathematical questions of our time, with 12 all-new episodes and a new format.

Cells in our bodies are constantly dying — and these countless tiny deaths are essential to human health and multicellular life itself. In this episode, co-host Steven Strogatz speaks with cellular biologist Shai Shaham about what makes a cell “alive” and the latest developments in understanding how and why cells die.

With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning.