Spatial-Omics and Machine Learning in Muscle Stem Cell Repair (Will Wang)

Spatial-Omics and Machine Learning in Muscle Stem Cell Repair (Will Wang)

January 15, 2026 · 56 min · Episode 166

About this episode

The episode features a discussion with Will Wang about his research on muscle stem cell repair and the role of spatial-omics and machine learning in regenerative biology.

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 research. Dr. Wang recounts his journey from a young student in a family of academics to becoming a leading figure in regenerative biology, highlighting how his early interests in life sciences, natural problem-solving abilities, and inspirations from mentorship set the stage for his current research trajectory. Throughout the discussion, we uncover key insights on how muscle stem cells transition from a quiescent state to a proliferative state in response to injury and how this dynamic process is governed by the epigenetic landscape and various signalling pathways. Dr. Wang emphasises the impact of external factors—be it microenvironment conditions or metabolic cues—on the fate and function of these stem cells, reflecting on the methodologies used to investigate these processes throughout his career. He shares fascinating findings…

People in this episode

Guest: Will Wang

Topics covered

Keywords

Mentioned in this episode

Organizations: Sanford Burnham Prebys

More episodes of Epigenetics Podcast

Explore listener stats, chart rankings, contacts and more on the Epigenetics Podcast podcast page.