Mengxin Li is a New York based illustrator and motion graphic designer originally from China. She graduated from Savannah College of Art and Design in 2017 with a MFA degree in Illustration. Mengxin enjoys creating conceptual illustration with a sense of humor, she also agrees that motion graphic techniques could bring out a lot of potential for visual storytelling.
Mengxin Li
Animator, illustrator
From this contributor
How autism’s definition has changed over time
Don’t judge this book by its decidedly dull cover: Across its pages, some of the most dramatic changes in the history of autism have played out. This short animation chronicles how a diagnostic manual has defined and redefined autism over the years.
How autism’s definition has changed over time
By
Emma Bryce, Mengxin Li
9 May 2018 | 3 min watch
Explore more from The Transmitter
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Autism-linked genes alter sleep behavior, and more
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By
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14 April 2026 | 2 min read
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
By
Erin Calipari
14 April 2026 | 5 min read
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
By
Juan Gallego
13 April 2026 | 8 min read