Experience

Researched technical foundations of deep learning neural networks and their applications in self-driving technologies.

Designed and conducted a primary survey to collect and analyze data on public perceptions of autonomous vehicles.

Synthesized primary and secondary sources into structured arguments addressing technical, ethical, and societal impacts.

Developed predictions on the future of AV regulation and adoption based on current technological and legal trends.

Strengthened skills in research design, data analysis, and scientific writing through a 4000-word paper.

Conducted in-depth theoretical and experimental research on open-ended physics problems, winning a gold medal in 2023, and a bronze medal in 2024 as part of team Schwarzschild. Designed and executed hands-on experiments to collect and validate data. Applied MATLAB and Python (with Matplotlib) for simulations, data analysis, visualization, and communication. Presented and defended solutions in competitive debates, demonstrating strong problem-solving and scientific communication skills.