Abhiram S
Building at the intersection of biology, AI, and data.
I am a bioinformatics enthusiast focused on applying artificial intelligence, computational biology, and data science to meaningful biomedical challenges. My work centers on research-driven problem solving, image analysis, and computational discovery.
Current Focus
Neuronal Cell Segmentation
Deep learning workflows for fluorescent cell segmentation and automated counting.
Research Direction
Computational Bioinformatics
Integrating AI, biological data, and computational methods for impactful research.
Projects
A growing portfolio of work spanning biomedical image analysis, drug discovery, and computational biology.
Approach
Blending scientific curiosity with practical computing to turn complex biological questions into structured, testable workflows.
Goal
To contribute to research and healthcare innovation through thoughtful, data-driven bioinformatics solutions.