Highly motivated bioengineering doctoral researcher with a strong background in neurogastroenterology, gastrointestinal (GI) electrophysiology, machine learning, image processing, and analysis. Committed to pushing the boundaries of scientific knowledge through cutting-edge research and fostering collaboration between academia and industry. Ability to effectively communicate technical/ scientific work via peer-reviewed scientific publications, conference proceedings, and international/national conference presentations, with three years of valuable industrial work experience in engineering.
My primary focus is unravelling the electrophysiological events in the GI tract, and their connection to gut contractile patterns, and the diseases associated with its dysfunctions. During my doctoral study, I developed an innovative analytical framework to explore the relationship between the structure of interstitial cells of Cajal (ICC) and gut motility function. My aim is to develop reliable diagnostic methods for functional GI motility disorders by characterizing the architecture of ICC network in the stomach, employing machine learning segmentation to extract confocal imaged networks and quantifying their morphology, spatial distribution, and interconnections using numerical metrics, fractal analysis, and graph theory.