My research focus lies in Translational Artificial Intelligence (AI) within the domain of laboratory medicine, with a particular emphasis on bringing AI from theoretical research into practical healthcare applications. My work spans multiple medical fields, including oncology, cardiology, and pediatrics, where I aim to develop and implement AI-driven models to enhance diagnostic accuracy and treatment outcomes. I am especially interested in creating predictive algorithms for early disease detection and treatment personalization, ensuring that AI is integrated seamlessly into clinical decision-making processes.

I am passionate about human-centered AI, where technology is designed to complement healthcare professionals rather than replace them, ensuring both ethical and practical integration into medical workflows. My research also prioritizes the scalability of AI solutions, enabling their use across diverse patient populations and various healthcare systems.

Additionally, I collaborate extensively across disciplines, combining expertise from data science, clinical medicine, and public health to push the boundaries of what AI can achieve in improving healthcare outcomes.

artificial intelligence, laboratory medicine, translational research, medical foundation modeling, clinical decision making