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High School Student Researcher Abigail Presented Research on Quantifying Exam Stress Progressions at the MIT URTC 2023

High School Student Researcher Rushat Presented Research On Photometric Redshift Predictions At The Mit Urtc 2023

Abigail Hsu is a high school student at Newark Academy in New Jersey. She has a strong interest in computer science, business, economics, and mathematics. Her achievements include becoming an International Baccalaureate Diploma Candidate and receiving the Top Startup Pitch recognition from the LaunchX Entrepreneurship Program. She was also nominated for her school’s Honor Council, an exclusive group representing just 1% of students who uphold the school’s Honor Code.

Entrepreneurship and Inclusive Technology

Abigail founded TeenPod, a podcast that highlights talented local teenagers. Its episodes cover sports, hobbies, careers, and other interests. The podcast attracts over 500 listeners per episode.

She also established MySportsFeedback, a data-driven platform that connects athletes with coaches. The platform provides instant, personalised feedback. Abigail led a team of four high school students to develop its minimum viable product (MVP). She also pitched the product to seed investors and maintained the website, which has more than 800 active users.

In addition, Abigail delivered a TED Talk on designing inclusive algorithms. She drew on months of independent research and analysis of academic papers and publications.

Business Experience and Community Service

During her internship at Sequoia Capital, Abigail researched the go-to-market strategies, financial performance, and revenue growth of various companies. These included businesses from the Americas, Europe, and Asia, such as Bricsys and Snowflake.

Abigail also contributed to the Bloom Organisation as a tutor. She taught English grammar, pronunciation, and communication to underprivileged students in China.

Research on Exam Stress and Machine Learning

Abigail’s research paper, “Quantifying Exam Stress Progressions Using Electrodermal Activity and Machine Learning,” was accepted at MIT URTC 2023.

The conference highlights undergraduate-level research in engineering and technology. Abigail’s paper explores exam stress through electrodermal activity and machine learning. This achievement adds to her work across technology, entrepreneurship, and research.

Congratulations to Abigail on this significant achievement!

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