I am a graduate student in Computer Science at the University of Pennsylvania (UPenn/PENN), where I focus on data science (health/medical), artificial intelligence, robotics, human-computer interaction, and game design. My work centers on understanding how intelligent systems are built from data—including health and medical data—and how those systems can be translated into meaningful human experiences. I am particularly interested in how game-based and robotic systems can collect behavioral and physiological data through natural interaction, enabling more adaptive and less intrusive approaches to health monitoring. By applying AI and predictive analytics, I aim to develop intelligent systems that detect patterns, support risk-aware decision-making, personalize experiences, and improve long-term health outcomes. My interests also extend into operational and risk management within healthcare and technology-driven environments where reliability, accessibility, and ethical system deployment are critical. I am interested in how predictive systems and data-driven risk modeling can improve decision-making under uncertainty while helping organizations better anticipate healthcare and operational challenges. My long-term goal is to help develop intelligent, ethical, and human-centered technologies that improve quality of life while supporting more informed and resilient real-world systems.