AI REVIEW
During my internship at a biomedical research laboratory, I began to understand that scientific progress rarely follows a straight line. During my internship, I encountered an unexpected challenge.
Three sets of samples produced fluorescence readings far below the control group. At first, I assumed the equipment was responsible. After recalibrating the reader and finding no fault, I adjusted the experimental method and eventually solved the problem.
The process taught me to treat an unexpected result not as a dead end, but as evidence that my assumptions needed attention. This experience strengthened my interest in biomedical engineering.
More importantly, I learned to make my reasoning visible to the people around me. My solution improved the team's accuracy by 30 percent.