̽»¨¾«Ñ¡

I am currently a postdoctoral researcher in the Department of Medical Epidemiology and Biostatistics (MEB) at ̽»¨¾«Ñ¡, focusing on the application of artificial intelligence in healthcare. With an academic background in IT engineering, I have developed a strong interest in leveraging AI to support clinical decision-making and enhance patient outcomes. My research interests lie in interdisciplinary work at the intersection of technology, medicine, and public health, where I aim to contribute to data-driven solutions for real-world healthcare challenges.

My research interests focus on the application of artificial intelligence and machine learning in healthcare, particularly in clinical decision support and outcome prediction. I am especially interested in interdisciplinary approaches that combine ̽»¨¾«Ñ¡ data, computational models, and public health perspectives to address real-world healthcare challenges.

I have supported undergraduate and postgraduate courses in information technology and data processing. I also assist master’s students with their thesis projects, providing guidance on research design and practical implementation.