Karthik Shekhar is John F. Heil Jr. Professor in the chemical and biomolecular engineering department at the University of California, Berkeley. His laboratory is cross-affiliated with neuroscience, vision science and the Lawrence Berkeley Laboratory. His interests are at the interface of neuroscience, genomics and applied mathematics, and his group uses both experimental and computational approaches to understand how diverse types of neurons in the brain develop and evolve, and how they become selectively vulnerable during diseases. He has received the NIH Pathway to Independence Award, the Hellman Fellowship and the McKnight Fellowship in Neuroscience. He also recently received the Donald E. Noyce Prize for Excellence in Undergraduate Teaching.
Karthik Shekhar
Assistant professor of chemical and biomolecular engineering
University of California, Berkeley
From this contributor
Building a brain: How does it generate its exquisite diversity of cells?
High-throughput technologies have revealed new insights into how the brain develops. But a truly comprehensive map of neurodevelopment requires further advances.
Building a brain: How does it generate its exquisite diversity of cells?
Explore more from The Transmitter
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
Neuromechanical models deepen our understanding of animal motor control
Thanks to recent progress in physics-based simulators and robotics, it has never been easier for neuroscientists to use neuromechanical modeling to test hypotheses about animal movement.
Neuromechanical models deepen our understanding of animal motor control
Thanks to recent progress in physics-based simulators and robotics, it has never been easier for neuroscientists to use neuromechanical modeling to test hypotheses about animal movement.
Fruit flies use memory to track odors
When flies encounter a tasty smell, they stroll in and out of the odor plume—a process that depends on encoding a memory of the angle needed to travel back to the plume, according to a new study.
Fruit flies use memory to track odors
When flies encounter a tasty smell, they stroll in and out of the odor plume—a process that depends on encoding a memory of the angle needed to travel back to the plume, according to a new study.