5 GHS Seniors Named Scholars in the Regeneron Science Talent Search 2023
Society for Science announced that Greenwich High School seniors Stephanie Chang, Isabella Gega, Ronit Gupta, Angie Fogarty, and Ambika Grover were included in the top 300 scholars in the Regeneron Science Talent Search 2023, the nation’s oldest and most prestigious science and math competition for high school seniors. Each of the five GHS scholars will be awarded $2,000 each and the school will be awarded $2,000 for each enrolled scholar.
The Regeneron Science Talent Search scholars were selected from 1,949 applications from 627 high schools across 48 states, Washington, D.C., Puerto Rico and four other countries. Scholars were chosen based on their outstanding research, leadership skills, community involvement, commitment to academics, creativity in asking scientific questions and exceptional promise as STEM leaders demonstrated through the submission of their original, independent research projects, essays and recommendations. The 300 scholars hail from 194 American and international high schools in 35 states and China.
On Tuesday, January 24, 40 of the 300 scholars will be named Regeneron Science Talent Search finalists. The finalists will then compete for more than $1.8 million in awards during a week-long competition in Washington, D.C., taking place March 9-15.
The Greenwich High School scholars and their project titles are:
- Stephanie Chang: A Multi-Omics Approach to Host-Microbe Interactions in Inflammatory Bowel Disease and Targeted Cell-Type Discovery
- Angie Fogarty: Rapid, Visual Detection of Illicit Substances in a Variety of Environments via Competitive, Amine-Responsive Fluorophores
- Isabella Gega: Synthesis of Polysaccharide-Encapsulated Hydroxyapatite Nanocomposites To Stimulate Plant Growth and Promote Phosphorus Absorption
- Ambika Grover: Design of a Novel, Dual-Functioning, Tissue Plasminogen Activator and Factor XI-Inhibiting Anticoagulant Therapeutic for Rapid Ischemic Stroke Treatment
- Ronit Gupta: Design of a Rapid, Lateral Flow COPD Diagnostic via Detection of Cyto-Keratin 19 Biomarkers