my ongoing research sits at the intersection of machine learning, computational genomics, and precision medicine, where i work to develop novel computational approaches for disease diagnostics and treatment optimization. through my work, i aim to bridge the gap between complex biological data and actionable clinical insights, particularly focusing on early disease detection.
my technical approach leverages advanced machine learning architectures, including attention mechanisms and graph neural networks, to process and analyze diverse biological data types. i’ve developed several novel methods for integrating multiple data modalities, such as combining gene expression profiles with high-resolution tissue data to derive cross-sectional implications for detection.
detection of lung adenocarcinoma gene mutations through histopathological analysis
early blindness detection based on retinal images using efficientnet architecture
development of modular components for a smart eye assistive technology system
text-based language recognition with machine translation and summarisation