Motivated student at Phillips Academy specializing in machine learning and physical sciences. Skilled in conducting data analysis and problem-solving with critical and independent thinking. Excels in applying theoretical knowledge to real-world scenarios, showing a strong passion for continuous learning and growth in the field.
Researching machine learning applications in polymer science and health impacts of common plastic additives
Worked on cutting-edge micro-cavity bioassay plates for single-cell analysis and drafted patent application based on proposed design improvements.
Chosen as 1 of 4 presenters from ~20 exceptional physics students, conducting independent research for United States Invitational Youth Physicists Tournament, earning second place. Designed, conducted, analyzed, and improved experiments on our own. Planning to compete in tournament again this year.
Led peer-tutor training sessions of ~50 tutors each term and held weekly drop-in STEM tutoring sessions, often covering for absent tutors.