I am a postdoctoral fellow in the lab of Arnold Kriegstein at the University of California, San Francisco (UCSF). I focus on applying single-cell genomics techniques to study the development of specific cell types of the human brain, as well as to understand how these cell types are affected in various diseases, especially autism. Before starting my work at UCSF, I did my PhD at the University of Miami focusing on genomic analysis of autism. I did my B.S. and MS at Moscow State University in my native Russia, where I worked on animal models of epilepsy and Alzheimer’s disease.
Dmitry Velmeshev
Postdoctoral Scholar
University of California, San Francisco
From this contributor
Single-cell analysis suggests brain signaling problems in autism
Recent advances in technology allow researchers to measure RNA that is contained within the nucleus of a single brain cell.
Single-cell analysis suggests brain signaling problems in autism
By
Dmitry Velmeshev, The Conversation
22 May 2019 | 5 min read
Explore more from The Transmitter
Remembering Annette Dolphin, who helped explain gabapentin’s effects
The "intuitive" neuropharmacologist pushed against the status quo.
Remembering Annette Dolphin, who helped explain gabapentin’s effects
The "intuitive" neuropharmacologist pushed against the status quo.
By
Michael Eisenstein
13 March 2026 | 7 min read
Revised statistical bar extracts less-common variants from autism genetics studies
Adjusting genetic analyses could help plug autism’s heritability gap, according to a new preprint.
Revised statistical bar extracts less-common variants from autism genetics studies
Adjusting genetic analyses could help plug autism’s heritability gap, according to a new preprint.
By
Holly Barker
12 March 2026 | 4 min read
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.
Tom Griffiths describes how neural networks, logic and probability theory together explain cognition
In his new book, “The Laws of Thought,” Griffiths shows how these three pillars of study complement one another and together form a solid foundation to eventually explain all of our cognition, from brain to mind.
By
Paul Middlebrooks
11 March 2026 | 100 min listen