Biography:
She is a high school student with research interests in medical microbiology and biomedical image analysis. Her work focuses on developing machine learning systems that remain robust under real world laboratory conditions, particularly for automated microbial colony enumeration. She conducted independent research involving noise aware preprocessing and object detection for agar plate image analysis, with an emphasis on practical deployment constraints. Her research has been recognized at national and international science fairs, and She is interested in pursuing further study at the intersection of computational methods and biomedical science, with the goal of improving accessibility and reliability in laboratory diagnostics.
Title : Noise aware preprocessing improves automated microbial colony enumeration in real world images