Spatial-Omics and Machine Learning in Muscle ...

In this episode of the Epigenetics Podcast, we talked with Oliver Bell from the University of Southern California in Los Angeles about his work on chromatin-based regulatory systems that encode cellular memory and their implications for development and disease. The Interview star ...  Show more

In this episode of the Epigenetics Podcast, we talked with Patrick Murphy from Cornell University about his work on gene regulation and cellular identity. Dr. Murphy's research focuses on the molecular mechanisms that govern gene expression through transcriptional and chromatin-b ...  Show more

Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery. Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Stein ...  Show more

Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In ...  Show more

Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience wor ...  Show more

Nick joins me to talk about how he tried to disprove PlanB’s Stock to flow model, but ended up finding out that it holds up. We also talk about cointegration, what that means, and some of Nick’s statistical work. We talk about: