Three Young Indian-American Students In the Top 10 Winners of Regeneron Science Talent Search 2022
Also called the US’s Junior Nobel in Maths and Science, it brings together the brightest young minds in the STEM field
FREMONT, CA: 2022 began with good news for the Indian-American diaspora as three teens of Indian origins won the Regeneron Science Talent Search.The Regeneron Science Talent Search is one of the USA’s older and most prestigious STEM competitions. It aims at discovering budding scientists among high school students across the country. Also called the US’s Junior Nobel in Maths and Science, it brings together the brightest young minds in the STEM field, presenting their experimental projects, innovations, futuristic ideas, and groundbreaking problem-solving projects. The following Indian-Americans were awarded the Regeneron Science Talent Search 2022 awards:
Neil Chowdhury, Washington DC
18-year-old Neil Chowdhury finished fifth among the top ten winners of the 2022 Regeneron Science Talent Search and won a cash price of USD 90,000 for his innovative computational method of studying the roles of histones implicated in colon cancer. His project demonstrates his finding that histone proteins cause change to long strips of DNA loops and make them coil in themselves to fit inside the nucleus of cells. Neil replicated the method of modulating DNA’s physical formations by utilizing molecular simulation of DNA polymers using Python.
Pravalika Gayatri Putalapattu, Virginia
17-year-old Indian-origin scientist Pravalika Gayatri Putalapattu finished seventh in the competition and won a cash award of USD 70,000 for her project on real-time monitoring of laparoscopic surgeries. Pravalika designed a video-assisted program that uses ML to detect errors in surgical steps so that corrective procedures can be done immediately. Imbued by the accidental death of a close relative due to a preventable surgical mistake, Pravalika addressed this major issue with her project. Her project uses image segmentation and network optimization to detect errors five times faster than the existing systems.
Neil Rathi, California
Neil Rathi finished in eighth place in the competition. He received a cash award of USD 60,000 for his experimental project on how human minds process and optimize language for efficient communication through the smallest meaningful units of words. Neil’s project aims at identifying linguistic patterns by using ML-based models.