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Miss Mythri AmbatipudiSan Jose, CA Engineering: Combating Neurovirulence of Zika and Flavivirus Epidemics using In Silico Phylogenetic Analysis and RNAi Gene Silencing
Miss Alexandra BrocatoArmonk, NY Engineering: Illuminating non-neuromuscular phenotypes and their temporal trajectory in Spinal Muscular Atrophy (SMA) using electronic health records
Mr. Mateo MasseyJackson Heights, NYEngineering: Autonomous Navigation to Dynamic Oceanographic Features: Localizing the Oceanic Mixed Layer with an In Situ Method and a Three Term Control System
Mr. Joseph Felkers Caledonia, MILiterature: BOXELDER: A study on family, heritage, sexuality, and toothlessness; set in the Midwest.
Miss Eileen Huang Holmdel, NJLiterature: American Girlhood: Giving Voice to the Experiences of Marginalized Americans
Mr. Brian HuangFresh Meadows, NY Mathematics: On Sufficient Conditions for Trapped Surfaces in Spherically Symmetric Spacetimes
Mr. Michael Ma Plano, TXMathematics: New Results on Pattern-Replacement Equivalences: Generalizing a Classical Theorem and Revising a Modern Conjecture
Mr. Daniel Cho Wyncote, PAMusic: For the Audience: Building Emotional Narratives in Relatable, Human Music
Miss Lan JiangIrvine, CA Science: Defining New Diagnostic Paradigm in Primary Central Nervous System Hypersomnias through Statistical Machine Learning
Mr. Rohan MehrotraSaratoga, CA Science: On-demand electrically controlled drug release from resorbable nanocomposite films
Mr. Vishnu Akash PolkampallyOssining, NYScience: Evaluating a mechanism for N2O3 production from hemoglobin, utilizing glassy matrices to trap the reaction between NO and nitrite derivative of methemoglobin
Mr. Nalin RanjanVirginia Beach, VA Science: A High-Efficiency Approach to Simulation of Inverse Compton Scattering and its Implications on the Scattered Linewidth
Mr. Shuvom SadhukaCambridge, MA Science: Searching for Topological Bubbles for Phononic Honeycomb Lattice
Miss Zoe Weiss Atlanta, GAScience: New Cell Type Detection via a Universal Single-Cell Gene Expression Algorithm
Mr. Ayush Agarwal San Ramon, CATechnology: A Novel Paradigm in Computational Precision Medicine: Transitioning to Synthetic Training Data after Unsupervised Adversarial Image Refinement
Miss Anika Cheerla Cupertino, CATechnology: Deep, Multimodal Representation Learning for Pan-Cancer Prognosis Prediction
Mr. Louis GolowichLexington, MA Technology: New Efficient Deterministic Parallel Random Number Generators with Improved Theoretical Properties
Mr. Syamantak Payra Friendswood, TXTechnology: A Smart Bionic Leg Orthosis: The Design, Development and Evaluation of an Orthotic Device for Comprehensive Restoration of Gait Characteristics across Everyday Mobility Scenarios
Miss Eshika SaxenaBellevue, WA Technology: A Mobile Phone Microscopy System for Automated Screening of Hematological Diseases Using Computer Vision Techniques and Convolutional Neural Networks
Mr. Utkarsh Tandon Cupertino, CATechnology: Diffusion Tensor Imaging Enabled Tractographical Modeling of Early-Onset Schizophrenia through a Machine Learning Predictor of Novel Cingulate-Orbitofrontal Fiber Abnormalities
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The following disclosure is provided pursuant to Nevada Revised Statutes (NRS) 598.1305:The Davidson Institute for Talent Development is a Nevada non-profit corporation which is recognized by the Internal Revenue Service as a 501(c)3 tax-exempt private operating foundation. We are dedicated to supporting the intellectual and social development of profoundly gifted students age 18 and under through a variety of programs. Contributions are tax deductible.
Profoundly gifted students are those who score in the 99.9th percentile on IQ and achievement tests. Read more about this population in this article.