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
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
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Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.

Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.

Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.