Lilia Iakoucheva is associate professor of psychiatry at the University of California, San Diego.
Lilia Iakoucheva
Associate professor
University of California, San Diego
From this contributor
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
If a therapy for autism’s core traits makes it to market, it will likely take one of three forms, the researchers say.
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
By
Peter Hess
14 April 2023 | 5 min read
Tangled web of proteins holds clues to autism’s complexity
Understanding how mutations in genes linked to autism perturb the different versions of proteins the genes form could reveal new targets for treatments.
Tangled web of proteins holds clues to autism’s complexity
By
Lilia Iakoucheva
28 February 2017 | 5 min read
Explore more from The Transmitter
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Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
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Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
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Jill Adams
18 August 2026 | 1 min read
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
By
Katie Moisse
18 August 2026 | 7 min read
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
By
Alex Williams
17 August 2026 | 7 min read