Between receiving his first computer as a gift from his father and eight years of Robotic Club membership, Girish can’t remember a time when he wasn’t driven by science or building. As a student, he frequently relies on online texts to supplement classroom materials, but he doesn’t feel like they prepare him enough to learn relevant concepts. So Girish recruited help from local professors to code a tool that automatically generates questions spurred by manually inserted and relevant text. RevUp helps students study and provides an extremely efficient way for teachers to stop crafting their own review materials and start relying on automation.
During her family summer visits to India, Deepika was troubled to see small children drinking polluted water from streams. She wondered how developing countries could best clean their water, and once returning to the U.S. tested different chemicals. She found that a solution mixed with silver and powered by the sun removed bacteria faster than current methods. With this finding, she hopes to provide cleaner drinking water to families in India and around the world.
Krtin benefitted from the power of medical science as a young child who underwent a successful procedure to restore his hearing. He was curious to see if that same power could cure another ailment he learned of on television – Alzheimer’s disease. He found that the Aβ oligomers biomarker is present in high concentrations in the brains of Alzheimer’s patients and also appeared during the earliest stage of the disease. Current diagnostic tools identify certain brain activity only present during the later stages of the disease, making it extremely difficult to diagnose the disease early. Krtin’s new molecular ‘Trojan Horse’ can potentially be used to diagnose Alzheimer’s at a much earlier stage, leading to better treatments for patients.
Pranav’s shown interest in astronomy since looking up at the night sky at age 4. He later became interested in physics and worked in a lab focused on quasar research. Certain quasars (massive and extremely remote celestial objects, emitting exceptionally large amounts of energy ) cause an effect called gravitational lensing, which magnifies the light of distant galaxies that would otherwise be too faint to see. Compiling existing data from over 450,000 quasars, Pranav developed two algorithms to automatically find gravitationally lensed quasars and improve the accuracy and reliability of candidates identified for follow-up observations. Pranav’s most excited that his project and results might confirm the expansion of the universe, helping us determine our eventual fate.
5. Anurudh Ganesan, LEGO Education Builder Award Winner
He won for his unique twist on effectively transporting vaccines.
As an infant in India, Anurudh’s grandparents carried him 10 miles for a vaccine, only to find that the vaccinations were no longer viable due to a lack of refrigeration. He knew that story well, and decided that one day he’d find a better and more reliable way to transport vaccines to remote locations. He brainstormed with a few local professors to come up with the idea for a “no ice, no electric” vaccine transportation system. Based on intensive test results in the lab, he created a simple vapor compression refrigeration system easily powered by humans or even animals. This model can successfully deliver vaccines without compromising the integrity of the antibodies, serving more people who urgently need intact and effective vaccinations.
This article was first published on the Google Blog.
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