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
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
COVID-19 and influenza effects in pregnancy; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 October.
COVID-19 and influenza effects in pregnancy; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 October.
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”