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CSHS/RVGS student among 300 semifinalists for top high school science award
Virginia Superintendent of Public Instruction James Lane is congratulating 17 Virginia high school students who were among 300 national and international students selected as semifinalists in the Society for Science and the Public’s 2020 Science Talent Search. The Science Talent Search — sponsored since 2017 by Regeneron Pharmaceuticals — is the nation’s oldest and most prestigious science and math competition for high school seniors.
“This is a tremendous honor and speaks to the commitment of these students — and their teachers — to academic excellence and deeper learning,” Lane said. “Their projects are great examples of what can happen when students direct their knowledge and critical thinking skills to addressing real-world issues and challenges.”
Fifteen of the 17 Virginia students selected attend public high schools in the commonwealth. These students are as follows:
- Kevin Sheng — Roanoke Valley Governors School for Science and Technology and Cave Spring High School; Project Title: Big Data Analytics: Identification of Novel Cancer Progression Gene Signatures for Precision/Personalized Medicine
- Sabrina Cai — Thomas Jefferson High School for Science and Technology, Fairfax County; Project Title: Investigating synthetic lethality for brain cancer therapy
- Avyuk Dixit — Thomas Jefferson High School for Science and Technology; Project Title: Assessing Glaucoma Progression Using a Machine Learning Model Trained on Longitudinal Visual Field and Clinical Data
- Brandon Fan — Blacksburg High School, Montgomery County; Project Title: Adverse Drug Event Detection and Extraction from Open Data: A Deep Learning Approach
- Victoria Graf — Thomas Jefferson High School for Science and Technology; Project Title: Determining Stimulus Selection Parameters for Treatment of Neurological Disorders Using Statistical Analysis of EEG Signal Entropy
- Ankit Gupta — Thomas Jefferson High School for Science and Technology; Project Title: StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
- Justin Hu — James Madison High School, Fairfax County; Project Title: Using Self Assembled Monolayers for the Reliable Fabrication of Ion-selective, Membrane-Functionalized Biochemical Sensors with the Potential for Implantation
- Benjamin Kang — Thomas Jefferson High School for Science and Technology; Project Title: All-pay auctions and applications to trade wars
- Neeyanth Kopparapu — Thomas Jefferson High School for Science and Technology; Project Title: MRI Image Synthesis for the Diagnosis of Parkinson’s Disease using Deep Learning
- Neha Pavuluru — Oakton High School, Fairfax County; Project Title: The Investigation of 2D Monolayers for the Treatment of Alzheimer’s Disease
- Anjali Sardana — James Madison High School, Fairfax County; Project Title: Maturation of Excitatory Synapses in the Juvenile Rodent Hippocampus Supports Spatial Navigation Ability in the Barnes Maze
Two of the selected students attend the Potomac School, a private K-12 school in McLean: - Evrim Ozcan — Potomac School, Project Title: Novel Application of a Redox-probing Technique for the Non-invasive quantification of Oxidative Stress in Perspiration
- Katherine Plaza — Potomac School, Project Title: Quantification and 3D-Rendering of Growth and Bleaching of Two Coral Species upon Long and Short-Term Treatment by Microplastics
On January 22, 40 of the 300 scholars will be named Regeneron Science Talent Search finalists. Finalists receive an all-expense-paid trip to Washington, D.C., from March 5-11, when they will compete for more than $1.8 million in awards provided by Regeneron.