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
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What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
What a bird’s-eye view of half a million papers reveals about neuroscience
New research uses artificial-intellligence-driven bibliometrics to map the structural organization of neuroscience across 25 years. The field it reveals is at once thriving and theoretically adrift.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
Newly identified barrier cells seal off choroid plexus from CSF, rest of brain
A long-overlooked layer of fibroblasts exists inside the choroid plexus of mice and humans, adding complexity to the area’s compartmentalization.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.
‘Digital sphinx’ raises questions about connectome models
The sphinx, with a worm’s brain and a fly’s body, illustrates the potential pitfalls of using deep-learning techniques to model biological processes.