logo
episode-header-image
Jan 15
55m 41s

Spatial-Omics and Machine Learning in Mu...

Active Motif
About this episode
In this episode of the Epigenetics Podcast, we talked with Will Wang from Sanford Burnham Prebys about his work on muscle stem cell repair, regeneration, and aging, exploring spatial-omics and machine learning. We begin our conversation by exploring the traditional concepts of spatial biology and how they have evolved to play a critical role in disease resea ... Show More
Up next
Dec 18
The Future of Protein–DNA Mapping (Mitch Guttman)
In this episode of the Epigenetics Podcast, we talked with Mitch Guttman from Caltec about ChIP-DIP (ChIP-Done In Parallel). ChIP-DIP is a newly developed approach for high-resolution protein–DNA interaction mapping. The method uses antibody-guided isolation of denaturant-insolub ... Show More
1h 2m
Dec 4
Chromatin Modifiers and Their Roles in Brain Development (Fides Zenk)
In this episode of the Epigenetics Podcast, we talked with Fides Zenk from the École polytechnique fédérale de Lausanne about her work on transgenerational inheritance in Drosophila and brain organoids for human development insights. Dr. Zenk begins by sharing her journey into th ... Show More
28m 26s
Nov 13
Region Capture Micro-C and 3D Genome Structure (Anders Sejr Hansen)
In this episode of the Epigenetics Podcast, we talked with Anders Sejr Hansen from MIT about his work on the impact of 3D genome structures on gene expression, the roles of proteins like CTCF and cohesin, and advanced techniques like Region Capture Micro-C for mapping genome orga ... Show More
1h 3m
Recommended Episodes
Feb 2025
863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter
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
1h 6m
Sep 2025
From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science - Ep. 273
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
34m 37s
Feb 2022
COVID-19 Associated Pulmonary Aspergillosis - The Other CAPA (JCM ed.)
<p>When most of us hear the word 'CAPA', these days we more than likely immediately start thinking about SARS-CoV-2 variants, trying to remember how important this particular one was in the grand scheme of the COVID-19 pandemic. But, that is not the 'kappa' we will be talking abo ... Show More
46m 15s
Mar 2025
How AI is saving billions of years of human research time | Max Jaderberg
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
19m 15s
Jul 2024
Rapid sepsis test identifies bacteria that spark life-threatening infection
00:48 A rapid way to identify serious bacterial infectionsA newly-developed method that can rapidly identify the type of bacteria causing a blood-infection, and the correct antibiotics to treat it, could save clinicians time, and patient lives. Blood infections are serious, and c ... Show More
34m 57s
Jun 2025
EP 190: Targeting regeneration to tackle Duchenne Muscular Dystrophy with Frank Gleeson of Satellos
Summary: This week on The Genetics Podcast, Patrick is joined by Frank Gleeson, co-founder and CEO of Satellos. They discuss Satellos’ novel approach to treating Duchenne Muscular Dystrophy by targeting muscle stem cell regeneration, how this fills a critical therapeutic gap, and ... Show More
48m 50s
Sep 2023
An AI for Smell, Heat and Agricultural Workers, Golden Lion Tamarin, Y Chromosome. Sept 1, 2023, Part 2
<h2>What’s That Smell? An AI Nose Knows</h2><p>If you want to predict the color of something, you can talk about wavelengths of light. Light with a wavelength of around 460 nanometers is going to look blue. If you want to predict what something sounds like, frequencies can be a g ... Show More
47m 36s
Sep 2025
Richard Sutton – Father of RL thinks LLMs are a dead end
Richard Sutton is the father of reinforcement learning, winner of the 2024 Turing Award, and author of The Bitter Lesson. And he thinks LLMs are a dead end.After interviewing him, my steel man of Richard’s position is this: LLMs aren’t capable of learning on-the-job, so no matter ... Show More
1h 6m
Jun 2024
Creating Effective Sigma Rules with AI
<p>Can Threat Detection be enhanced with AI? Ashish sat down with <a href="https://www.linkedin.com/in/dave-johnson-993754195/" target="_blank" rel="noopener noreferer">Dave Johnson</a>, Senior Threat Intelligence Advisor at Feedly, at BSides SF 2024, where Dave also presented a ... Show More
22m 21s
Sep 2025
Ep. 372: Decoding TikTok’s Algorithm
<p>Last week, it was announced that Oracle would take over operation of TikTok in the US. One of the primary reasons proposed for this deal is that it was in national interests for us to take over control of TikTok’s fabled “algorithm.” But what is this algorithm? How does it wor ... Show More
1h 26m