Biography
I am a research assistant at King’s College London specializing in machine learning (ML) and statistical modeling for arrhythmia prediction. My expertise lies in developing innovative computational tools for disease diagnosis and predictive modeling, utilizing large-scale datasets and advanced ML methodologies. With a Ph.D. focused on cardiovascular diagnostics and prior collaborations with international research institutions, I integrate deep learning, physics-informed machine learning, and statistical approaches to tackle complex medical challenges. My work is complemented by a strong foundation in numerical analysis, fluid dynamics, and high-performance computing, supported by publications in high-impact journals and international conference contributions.