WASHINGTON, D.C. (TIP): Thirteen Indian American high schoolers figure among top 40 finalists in this year’s Regeneron Science Talent Search, the nation’s oldest and most prestigious science and math competition for high school seniors. The 2023 finalists’ research projects showcase their breadth of knowledge, their commitment to addressing issues important to modern society, and their passion for STEM, according to a media release.
The finalists were chosen by a national jury of professional scientists from a pool of 300 scholars, based on their projects’ scientific rigor and their potential to become world-changing scientific leaders.
“We are thrilled to welcome this inspiring and highly talented class of Regeneron Science Talent Search finalists,” said Maya Ajmera, President and CEO, Society for Science and Executive Publisher, Science News.
“I am certain these extraordinary students will be following in the footsteps of our many accomplished alumni who are the forefront of breakthrough discoveries. The 2023 finalists will be using their leadership, intellect, creativity and STEM skills to solve our world’s most intractable challenges.”
Finalists will participate in a week-long competition in March 2024, during which they will undergo a rigorous judging process that goes beyond their own research to encompass other scientific disciplines and compete for more than $1.8 million in awards.
They will also have an opportunity to interact with leading scientists and share their research during a virtual “Public Day” event on March 12.
The top 10 Regeneron Science Talent Search 2023 winners will be announced during an awards ceremony on March 14, streamed live from Washington, DC.
In total, more than $3 million in awards will be distributed throughout the Regeneron Science Talent Search. The finalists are each awarded at least $25,000, and the top 10 awards range from $40,000 to $250,000.
Here is list of Indian American finalists:
Saraswathy Amjith, Tesla STEM High School, Redmond, Washington.
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, Del Norte High School, San Diego, California.
Project Title: A Mechanistic Basis for the Analysis of SARS-CoV-2 Omicron Variant Severity.
Aditi Avinash, Rock Canyon High School, Highlands Ranch, Colorado.
Project Title: Model Validation and Preclinical Testing of Digestive Enzymes for Gluten Breakdown: A Move To Cure Gluten Intolerance and Celiac Disease.
Harshil Avlani, BASIS Chandler, Chandler, Arizona.
Project Title: Analyzing the Effect of Mid-Circuit Measurement (MCM) on Spectator Qubits.
Arav Bhargava, The Potomac School, McLean, Virginia.
Project Title: Low-Cost, 3D-Printed, Universal-Fit, Transradial Socket for Amputees in Developing Countries.
Arnav N. Chakravarthy, Homestead High School, Cupertino, California.
Project Title: Leveraging Mitochondrial DNA Mutations for Macrophage Lineage Tracing in Primary Human Tissues. Sarang Goel, Texas Academy of Mathematics and Science, Denton, Texas.
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, Sanford School, Hockessin, Delaware.
Project Title: Enhancing Wearable Gait-Monitoring Systems: Identifying Optimal Kinematic Inputs in Typical Adolescents. Alexandra Mahajan, Cambridge Rindge & Latin School, Cambridge, Massachusetts.
Project Title: A Novel Method To Determine Precise Stellar Radii and Temperatures of Low Mass Stars Using JWST Transits and Occultations.
Ekansh Mittal, Westview High School, Portland, Oregon.
Project Title: Harnessing Machine Learning and 3D Spheroid Cultures To Identify Biomarkers for Combating Drug Resistance in Breast Cancer.
Achyuta Rajaram, Phillips Exeter Academy, Exeter, New Hampshire.
Project Title: Automatic Discovery of Visual Circuits.
Rhea Rastogi, Loveless Academic Magnet Program High School, Montgomery, Alabama.
Project Title: Understanding How the Maternal Epigenetic Reprogramming Function of LSD1 Contributes to Inherited Developmental Disease.
Riya Tyagi, Phillips Exeter Academy, Exeter, New Hampshire.
Project Title: Using Computer Vision To Disentangle Features Enabling AI To Learn Self-Reported Race and Ethnicity From Medical Images.