- Speaker
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Sonya Hanson, Ph.D.Research Scientist, CCB, Flatiron Institute
The 2026 lecture series in biology is “Folding the Future: The Structural Biology Revolution.” In this series, scientists will explore the rapid advances transforming how we visualize and engineer the molecular machinery of life. From breakthroughs in protein structure prediction to innovations in integrative structural biology, speakers will examine how these computational and experimental tools are reshaping drug discovery, synthetic biology, and our broader understanding of cellular function.
2026 Lecture Series Themes
Biology – Folding the Future: The Structural Biology Revolution
Mathematics and Computer Science – Randomness
Neuroscience and Autism Science – Brain and Body: Communication and Connection
Presidential Lectures are a series of free public colloquia spotlighting groundbreaking research across four themes: neuroscience and autism science, physics, biology, and mathematics and computer science. These curated, high-level scientific talks feature leading scientists and mathematicians and are designed to foster discussion and drive discovery within the New York City research community. We invite those interested in these topics to join us for this weekly lecture series.
Textbooks and structural models traditionally depict proteins as static, rigid entities. While these snapshots from experimental techniques such as X-ray crystallography and cryo-electron microscopy (cryo-EM) are incredibly useful, they obscure the fundamental reality that life exists in motion. Capturing the full scope and implications of protein dynamics remains a major challenge for experimental and computational techniques alike.
In this Presidential Lecture, Sonya Hanson will discuss the ongoing journey to understand biological temperature sensing — a process that inherently relies on molecules changing shape as a function of small temperature changes. She will highlight how this puzzle has motivated community challenges and methods development to better capture the full conformational landscape of molecules from cryo-EM data. Combined with molecular simulation and recent innovations in machine learning, these technological developments are shifting our focus from rigid structures to dynamic ensembles and refining our ability to see how proteins function.
