I’m a PhD candidate in Data Science and Analytics at the University of Oklahoma, where I focus on understanding how complex systems behave using data-driven methods. My background is in electrical engineering and artificial intelligence, and over the past several years I’ve worked across machine learning, robotics, and scientific modeling.
What excites me most is uncovering the hidden rules behind real-world systems and translating them into models that are both accurate and interpretable. I’ve developed algorithms that improve how we detect diseases, classify unknown data, and model dynamic systems, but I also enjoy making these ideas accessible, whether through teaching, collaboration, or applied projects.
Beyond research, I’m curious by nature and enjoy exploring how data science can impact areas like healthcare, infrastructure, and everyday decision-making. I’m always looking for opportunities to connect ideas across disciplines and create practical, meaningful solutions.
