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
By
Joseph Cubells, Evan Eichler, James Sutcliffe, Huda Zoghbi
6 September 2021 | 11 min read
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
By
Jessica Wright
14 March 2017 | 6 min read
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
By
Jill Adams
16 June 2026 | 2 min read
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
By
Brian DePasquale
16 June 2026 | 17 min read
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
By
Rachel Parkinson
15 June 2026 | 7 min read