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7 Indian American High School Seniors Among 40 Regeneron Science Talent Search Finalists

7 Indian American High School Seniors Among 40 Regeneron Science Talent Search Finalists

  • They were selected from the top 300 scholars for their scientific research, achievements and leadership skills.

Seven Indian American students are among 40 finalists selected in the Regeneron Science Talent Search, the nation’s oldest and most prestigious science and math competition for high school seniors. They were selected from the top 300 scholars chosen from 1,804 applications, “based on the originality and creativity of their scientific research, as well as their achievement and leadership both inside and outside of the classroom,” according to a Regeneron press release. 

Finalist projects cover disciplines of science including animal science, behavioral and social sciences, bioengineering, cellular and molecular biology, chemistry, computational biology and bioinformatics, computer science, engineering, environmental science, genomics, materials science, mathematics, medicine and health, physics, plant sciences and space science. They will participate in a week-long competition from March 9-16, where they will undergo a rigorous judging process and compete for more than $1.8 million in awards. The top 10 winners will be announced during a live-streamed awards ceremony on March 15.

Indian American finalists include: 

Atreyus Abdhish Bhavsar: Blake School Northrop Campus, Minneapolis, Minnesota. (Project Title: The Spread of Macroscopic Droplets from a Simulated Cough With and Without the Use of Masks or Barriers.)

Neil Chowdhury: Phillips Exeter Academy, Exeter, New Hampshire (Project Title: Modeling the Effect of Histone Methylation on Chromosomal Organization in Colon Cancer Cells.)

Rohan Singh Ghotra: Syosset High School, Syosset, New York. (Project Title: Uncovering Motif Interactions from Convolutional Attention Networks for Regulatory Genomics.)

Yash Narayan: The Nueva School, San Mateo, California. (Project Title: DeepWaste: Applying Deep Learning on a Mobile Device for Accurate, Low Cost, and Ubiquitous Waste Classification).

See Also

Rishab Parthasarathy: The Harker School, San Jose, California. (Project Title: A Novel Combination of Natural Language Processing (NLP) and Pathway Analysis for Predicting Oncogenic Mutation Progression and Recommending Targeted Therapies.)

Pravalika Gayatri Putalapattu: Thomas Jefferson High School for Science and Technology, Alexandria, Virginia (Project Title: DORC: Dynamic Operating Room Companion for Gallbladder Removal Surgical Workflow Verification.)

Neil Rathi: Palo Alto High School, Palo Alto, California, (Project Title: Cross-Linguistic Universals of Morphological Fusion: An Information-Theoretic Approach.)

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