RESEARCH
Understanding how signals shape biological systems
From observation to experimentation to modeling.
• Image-Based Analysis of Metastatic Structure
• Acoustic Stimulation and Cellular Recovery
• Computational Modeling of Wound Healing Dynamics
Research 1
Image-Based Analysis of Metastatic Structure (Data)
A study investigating how cytoskeletal structure relates to metastatic behavior.
Using microscopy, image processing, and machine learning, I analyzed keratin filament patterns in skin cells to identify structural features associated with metastatic risk.
This work focused on extracting meaningful patterns from biological data, laying the foundation for understanding how structure relates to function.
Research 2
Acoustic Stimulation and Cellular Recovery (Experiment)
An experimental study testing whether sound can act as
a measurable physical input in biological systems.
Using controlled acoustic stimulation, I examined how variations in frequency and exposure affect wound healing dynamics in human dermal fibroblasts.
This work moved beyond observation, exploring how physical signals can directly influence biological outcomes.
Research 3
Computational Modeling of Wound Healing Dynamics (Model)
A computational study extending my experimental work on sound-based stimulation, modeling how it influences wound healing as a dynamic system.
By integrating reaction–diffusion modeling with agent-based interactions, I examined how local cellular behaviors scale into tissue-level outcomes.
This work reflects a shift from observing biological effects to modeling the mechanisms that generate them.