Portfolio and Technical Background
MorphSignal Analytics is grounded in PhD-level research in computational bioengineering, biological image analysis, and machine learning. My work spans 2D and 3D microscopy, segmentation, registration, morphology quantification, neuron tracing, vascular tissue analysis, graph-based machine learning, and reproducible computational workflows, as well as taking advantage of agentic AI to streamline results while maintaining a complete understanding of pipelines.
I have developed methods and pipelines for low-contrast image segmentation, neuron morphology analysis, collagen and elastin microstructure quantification, nuclear shape analysis, image and trace registration, and machine learning-based structure extraction from complex image data.