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13 Indian-Americans named Regeneron STS finalists
The competition, in its 83rd year, has been identifying young innovators who combine their STEM talent with dedication and leadership skills to drive society forward.
Photo of Indian-American finalists attached / Compilation from Society for Science site
As many as 13 Indian American students are among 40 finalists for the highly esteemed Regeneron Scientific Talent Search (Regeneron STS), an annual high school science and mathematics competition. The competition, which is in its 83rd year, has repeatedly identified young innovators who combine their STEM talent with dedication and leadership skills to drive society forward.
Saraswathy Amjith, Aarav Arora, Aditi Avinash, Harshil Avlani, Arav Bhargava, Arnav N. Chakravarthy, Sarang Goel, Amanrai Singh Kahlon, Alexandra Mahajan, Ekansh Mittal, Achyuta Rajaram, Rhea Rastogi, and Riya Tyagi were the 13 Indian-American finalists. They came from states like California, Arizona, Colorado, Virginia, Dallas, and others.
Saraswathy Amjith, student at Tesla STEM High School, Redmond, Washington, has been recognized for a project involving a novel integrated machine learning approach utilizing radar and satellite imagery for selective logging, remote sensing Detection, and an accompanying AI-logging map-generating webtool.
Aarav Arora, from Del Norte High School, San Diego, California, has developed a mechanistic basis for the analysis of SARS-CoV-2 Omicron Variant Severity. Aditi Avinash, from Rock Canyon High School in Highlands Ranch, Colorado, presented a model validation and preclinical testing of digestive enzymes for gluten breakdown which has the potential to cure gluten intolerance and celiac disease.
Harshil Avlani analyzed the effect of Mid-Circuit measurement (MCM) on spectator qubits. He is a student at BASIS Chandler, Arizona. Arav Bhargava, studying in the Potomac School, McLean, Virginia, worked on a low-cost, 3D-Printed, universal-fit, transradial socket for amputees in developing countries.
A student at Homestead High School, Cupertino, California, Arnav N. Chakravarthy, aims to leverage mitochondrial DNA mutations for macrophage lineage tracing in primary human tissues while Sarang Goel, from Texas Academy of Mathematics and Science, Denton, Texas, presented IVY, an intelligent vision system inbuilt in sunglasses for the visually impaired.
Amanrai Singh Kahlon from Delaware’s Sanford School successfully attempted to enhance wearable Gait-Monitoring systems by identifying optimal kinematic inputs in typical adolescents. Alexandra Mahajan, from Cambridge Rindge & Latin School, Cambridge, Massachusetts, presented an innovative method to determine precise stellar radii and temperatures of low-mass stars.
Ekansh Mittal, student at Westview High School, Portland, Oregon, attempted to harness machine learning and 3D spheroid cultures to identify biomarkers for combating drug resistance in breast cancer. Achyuta Rajaram, enrolled in Phillips Exeter Academy, Exeter, New Hampshire, presented on automatic discovery of visual circuits.
Rhea Rastogi, from Loveless Academic Magnet Program High School, Montgomery, Alabama, presented her project that involved the understanding of how the maternal epigenetic reprogramming function of LSD1 contributes to inherited developmental disease. Riya Tyagi, from Phillips Exeter Academy in Exeter, New Hampshire, tried using computer vision to disentangle features enabling AI to learn Self-Reported race and ethnicity from medical images.
The finalists were chosen from among 300 applicants based on the scientific rigor of their projects and their potential to become scientists and leaders who change the world. They will compete for over $1.8 million in honors during a week-long competition in Washington, D.C., from March 6–13. They will go through a rigorous judging procedure.
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