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Innovators Under 35 articles

Archana Kamal

Archana Kamal

Archana Kamal, 34 University of Massachusetts, Lowell As quantum computing starts to move from the lab to the factory, companies from Google to Intel are struggling to solve a tricky problem: how to faithfully steer the quantum information such systems spit out …Continue reading

Will Mclean

Will McLean, 31 Frequency Therapeutics Will McLean believes he’s found a fix for a medical conundrum that many thought could never be solved: hearing loss in humans. McLean’s research focuses on the cochlea, the spiral-shaped cavity within the inner ear that’s responsible …Continue reading

Adam Marblestone

Adam Marblestone, 31 Kernel Adam Marblestone wants to make the brain machine-readable. So he worked out the physical limits of what’s possible in recording brain activity and is now using that knowledge to set technology strategy at Kernel, a startup with $100 …Continue reading

Manan Suri

Manan Suri has built key elements of computer chips that mimic the learning ability and energy efficiency of the brain. And he did it by harnessing a quirk of next-generation memory technology. That technology is known as emerging non-volatile memory (eNVM). Because …Continue reading

Barbarita Lara

When an 8.8 magnitude earthquake hit her native Chile in 2010, Barbarita Lara started tinkering. An engineering student at the time, she was struck by the challenges of communication in the quake’s aftermath: everyone she knew had become dependent on the internet …Continue reading

Shinjini Kundu

Medical images are massively important in diagnosing disease, but as they get more detailed it becomes harder and harder for a human being to interpret them. Shinjini Kundu created an artificial-­intelligence system that can analyze them to find patterns undetectable to the …Continue reading

Brenden Lake

Brenden Lake created an AI program that can learn novel handwritten characters as well as a human can after seeing just a single example. That might seem mundane in a world where AI controls self-driving cars and beats the world’s best Go …Continue reading

Marzyeh Ghassemi

After collaborating with doctors in the intensive care unit at Beth Israel Deaconess Medical Center during her PhD studies, Marzyeh Ghassemi realized that one of their biggest challenges was information overload. So she designed a suite of machine-learning methods to turn messy …Continue reading

Niki Bayat

Growing up in Iran, Niki Bayat always wanted to use her aptitude in engineering to help people suffering from disease—especially after her father developed glaucoma and was unable to have eye surgery because of other health issues. She placed eighth in Iran’s …Continue reading

Shehar Bano

Shehar Bano made it possible to fight state censorship of the internet—by pioneering the first systematic study of how it happens. It all started when Bano’s homeland of Pakistan blocked YouTube in 2012. “Previously, people were under the delusion that this was …Continue reading