Upcoming
Peter Sarnak, Ph.D.Eugene Higgins Professor of Mathematics, Princeton University
Stephen Liberles, Ph.D.Professor of Cell Biology, Harvard Medical School
Vicky Kalogera, Ph.D.Daniel I. Linzer Distinguished University Professor in the Department of Physics and Astronomy, Northwestern University
Stephen R. Quake, Ph.D.Lee Otterson Professor of Bioengineering, Stanford University
Kara Marshall, Ph.D.Assistant Professor, Neuroscience, Baylor College of Medicine Past
Genetic disorders with high penetrance of autism symptoms provide an opportunity to investigate the cellular and circuitry abnormalities underlying autism spectrum disorder. Mustafa Sahin studies the basis of Tuberous Sclerosis Complex (TSC) in cell culture, in animal models and in the clinic and will present an update on translational research in TSC.
- Lecture
- Watch Video
In this lecture, Dr. Andrea Ghez will discuss the latest developments in the study of black holes, specifically how the environment around the black hole at the center of the Milky Way is quite different than astronomers expected. She will also describe how studying the orbits of stars at the galactic center could improve our understanding of gravity.
- Lecture
- Watch Video
Next-generation sequencing has the power to decode DNA in a matter of hours, but doctors still diagnose infections using methods developed decades ago. This lecture will describe how scientists are using the latest sequencing technology in combination with new, very fast algorithms to sequence a complex mixture of DNA from a sick patient and, in some cases, identify the causative agent of an infection.
- Lecture
- Watch Video
Dr. Ruth O’Hara will present on the field’s current understanding of sleep in autism spectrum disorder.
- Lecture
- Watch Video
In this lecture, Eric Betzig will describe advanced optical tools being developed to help scientists delve deeper into the complexity of biological systems.
- Lecture
- Watch Video
A canonical task in machine learning is to fit a model to a dataset. Sanjeev Arora will describe models fitted to real-life datasets, which display randomlike properties that can offer insights into the algorithms used for the task.
- Lecture
- Watch Video
- Previous Page
- Viewing
- Next Page