Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world, says Kim Martineau, MIT Quest for Intelligence.
Natalie Lao was set on becoming an electrical engineer, like her parents, until she stumbled on course 6.S192 (Making Mobile Apps), taught by Professor Hal Abelson.
Here was a blueprint for turning a smartphone into a tool for finding
clean drinking water, or sorting pictures of faces, or doing just about
anything. “I thought, I wish people knew building tech could be like
this,” she said on a recent afternoon, taking a break from writing her
dissertation.
After shifting her focus as an MIT undergraduate to computer science, Lao joined Abelson’s lab, which was busy spreading its App Inventor platform
and do-it-yourself philosophy to high school students around the world.
App Inventor set Lao on her path to making it easy for anyone, from
farmers to factory workers, to understand AI, and use it to improve
their lives. Now in the third and final year of her PhD at MIT, Lao is
also the co-founder of an AI startup to fight fake news, and the
co-producer of a series of machine learning tutorials. It’s all part of
her mission to help people find the creator and free thinker within...
The HINTS team is now working with its first client, a media analytics
firm based in Virginia. As CEO, Lao has called on her experience as a
project manager from internships at GE, Google, and Apple, where, most
recently, she led the rollout of the iPhone XR display screen. “I’ve
never met anyone as good at managing people and tech,” says Tsai, an
EECS master’s student who met Lao as a lab assistant for Abelson’s
course 6.S198 (Deep Learning Practicum), and is now CTO of HINTS.
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Source: MIT News