Selected projects showcasing my work in computational biology and software development.
Contributed to interactive data visualization platform enabling researchers to explore complex behavioral and cognitive datasets through intuitive visual interfaces.
A Python-based pipeline for automated cell counting in time-lapse microscopy images. The tool processes image stacks, applies segmentation algorithms, and outputs quantitative data for biological research. Optimized for resource-constrained environments while maintaining accuracy comparable to manual counting methods.
Algorithms for DNA sequence analysis including pattern matching, mutation detection, and genetic variation identification. Built as part of CS50.
Comprehensive database for tracking alumni at MGH Neurology Department with automated reporting and data integrity features.