I am a passionate Health Data Scientist and Biostatistician with a strong focus on using data-driven approaches to improve healthcare and population health. I apply machine learning and statistical methods to predict patient outcomes, optimize treatment plans, and enhance clinical decision-making at both individual and population levels. By analyzing large datasets from electronic health records (EHRs), wearable devices, and population-level data, I aim to gain insights into health trends and behaviors, helping to develop personalized, proactive health strategies as well as public health interventions. My work involves integrating real-time data from various sources to monitor patient health and create tailored interventions that address both individual needs and broader public health challenges. I am particularly dedicated to dynamic patient outcome prediction, building models that adapt to new data for timely interventions and ongoing patient management. Through my research, I aim to optimize health outcomes and drive innovations across both clinical and population health settings.