Eight FCPS Students Among Nation’s Top 300 Teen Scientists

By Office of Communications
FCPS News
January 10, 2024

Society for Science (the Society) announced the top 300 scholars in the Regeneron Science Talent Search 2024 (STS), the nation’s oldest and most prestigious science and math competition for high school seniors. Eight of the 300 scholars are students in Fairfax County public schools: one from Madison High School and seven from Thomas Jefferson High School for Science and Technology. The scholars will be awarded $2,000 each and their schools will be awarded $2,000 for each enrolled scholar.   

2024 Regeneron STS Scholars from FCPS

  • Kunal Bham, Age: 18
    Thomas Jefferson High School for Science and Technology
    Project Title: Discovering Hidden Pathways: A Network-Centric Approach Reveals Novel Pathways Impacted by Prader-Willi Syndrome
  • David Cao, Age: 18
    Thomas Jefferson High School for Science and Technology
    Project Title: The Implications of ‘Oumuamua on Panspermia
  • Seoyoung Jun, Age: 18
    Thomas Jefferson High School for Science and Technology
    Project Title: Integrated Assistive Technology for the Visually Impaired – Implementation of a 3D Scanner With a Tactile Display and Machine Learning in Obstacle Identification
  • Rohan Kalahasty, Age: 18
    Thomas Jefferson High School for Science and Technology
    Project Title: Hybrid Plasticity: Adaptive, Brain-Like Artificial Intelligence via Prefrontal Cortex-Inspired Meta-Learning
  • Ryan Kim, Age: 17
    Thomas Jefferson High School for Science and Technology
    Project Title: Hybrid Quantum-Classical Machine Learning for Dementia Dete
  • Kiran Myneni, Age: 17
    Madison High School 
    Project Title: Public Health Strategies for Disease Mitigation in the SIR Model
  • William Zhang, Age: 17
    Thomas Jefferson High School for Science and Technology
    Project Title: Synchronization-Free Light Sheet Microscopy for 3-Dimensional Tissue Imaging 
  • Brian Lee Zhou, Age: 17
    Thomas Jefferson High School for Science and Technology
    Project Title: Novel Data-Driven and Constraint-Guided Deep Learning Models Optimize a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

The Regeneron Science Talent Search scholars were selected from 2,162 applications from 712 high schools across 46 states, Washington, D.C., Puerto Rico, and 10 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. 

View the full list of scholars.

On 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 6-13. 

Collectively, STS alumni have received millions of dollars in scholarships and gone on to be awarded Nobel Prizes, Fields Medals, MacArthur Fellowships and numerous other accolades.