Huda Zoghbi is a Howard Hughes Medical Institute investigator and professor of molecular and human genetics at Baylor College of Medicine in Houston, Texas. She is also director of the Jan and Dan Duncan Neurological Research Institute. Zoghbi explores the biology of genetic disorders such as Rett syndrome, and the genes essential for normal neurodevelopment.

Huda Zoghbi
Professor
Baylor College of Medicine
From this contributor
Remembering Steve Warren (1953-2021): A giant in the field of genetics
Steve Warren co-discovered the genetic mechanism that underpins fragile X syndrome and was a generous, inspiring mentor to many.

Remembering Steve Warren (1953-2021): A giant in the field of genetics
Questions for Huda Zoghbi: Studying Rett in the rodent brain
Removing the Rett syndrome gene, MeCP2, from distinct cells and brain regions reveals hidden features of the condition.

Questions for Huda Zoghbi: Studying Rett in the rodent brain
Explore more from The Transmitter
This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.

This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.

Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.

The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.