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USA (Commonwealth Union)_ Thirteen Indian American students have secured positions among the 40 finalists in the prestigious 2024 Regeneron Science Talent Search. The Society for Science revealed that these finalists hail from 36 schools across 19 states. Notably, the selection process involved assessing the originality and creativity of the students’ scientific research, along with their achievements and leadership both inside and outside the classroom. The pool of applicants, numbering 2,162 entrants and 300 scholars, represents the largest since the 1960s, highlighting the competitive nature of the science and math competition for high school seniors.
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Scheduled from March 6-13, the week-long competition will take place in Washington, DC, offering participants an opportunity to vie for over $1.8 million in prizes, including a top prize of $250,000. Additionally, finalists will engage with leading scientists and present their research during a virtual “Public Day” event on March 12. The top 10 winners of the Regeneron Science Talent Search 2023 will be revealed during an awards event on March 14, which will be a live telecast from Washington, DC. The Regeneron Science Talent Search, which boasts a total award distribution exceeding $3 million, ensures that each finalist is awarded a minimum of $25,000. The top 10 awards range from $40,000 to the highest prize of $250,000.
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The following list entails the names of the Indian American finalists of the 2024 Regeneron Science Talent Search and their respective project titles:
- Saraswathy Amjith from Tesla STEM High School in Redmond, WA
Project Title: A Novel Integrated Machine Learning Approach Utilizing Radar and Satellite Imagery for Selective Logging Remote Sensing Detection and Accompanying AI-Logging Map-Generating Webtool.
- Aarav Arora from Del Norte High School in San Diego, CA
Project Title: A Mechanistic Basis for the Analysis of SARS-CoV-2 Omicron Variant Severity
- Aditi Avinash from Rock Canyon High School in Highlands Ranch, CO
Project Title: Model Validation and Preclinical Testing of Digestive Enzymes for Gluten Breakdown: A Move to Cure Gluten Intolerance and Celiac Disease
- Harshil Avlani from BASIS Chandler in Chandler, AZ
Project Title: Analyzing the Effect of Mid-Circuit Measurement (MCM) on Spectator Qubits
- Arav Bhargava from The Potomac School in McLean, VA
Project Title: Low-Cost, 3D-Printed, Universal-Fit, Transradial Socket for Amputees in Developing Countries
- Arnav N. Chakravarthy from Homestead High School in Cupertino, CA
Project Title: Leveraging Mitochondrial DNA Mutations for Macrophage Lineage Tracing in Primary Human Tissues
- Sarang Goel from Texas Academy of Mathematics and Science in Denton, TX
Project Title: IVY – Intelligent Vision System for the Visually Impaired: Innovative Low-Cost, AI-Based Eyeglasses to Help the Visually Impaired Overcome Mobility Limitations Through Navigational Assistance and Object Avoidance Algorithms and an Intuitive Vibration and Audio Guidance System
- Amanrai Singh Kahlon from Sanford School in Hockessin, DE
Project Title: Enhancing Wearable Gait-Monitoring Systems: Identifying Optimal Kinematic Inputs in Typical Adolescents
- Alexandra Mahajan from Cambridge Rindge & Latin School in Cambridge, MA
Project Title: A Novel Method to Determine Precise Stellar Radii and Temperatures of Low Mass Stars Using JWST Transits and Occultations
- Ekansh Mittal from Westview High School in Portland, OR
Project Title: Harnessing Machine Learning and 3D Spheroid Cultures to Identify Biomarkers for Combating Drug Resistance in Breast Cancer
- Achyuta Rajaram from Phillips Exeter Academy in Exeter, NH
Project Title: Automatic Discovery of Visual Circuits
- Rhea Rastogi from Loveless Academic Magnet Program High School in Montgomery, AL
Project Title: Understanding How the Maternal Epigenetic Reprogramming Function of LSD1 Contributes to Inherited Developmental Disease
- Riya Tyagi from Phillips Exeter Academy in Exeter, NH
Project Title: Using Computer Vision to Disentangle Features Enabling AI To Learn Self-Reported Race and Ethnicity From Medical Images
