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
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.