I am a Senior Researcher at the Hormel Institute, University of Minnesota, specializing in artificial intelligence, machine learning, metaheuristic optimization, and computational modeling. My research focuses on developing hybrid and adaptive optimization algorithms and data-driven frameworks for large-scale global optimization, feature selection, and biomedical data analysis. I hold a Ph.D. in Artificial Intelligence, where my work centered on scalable optimization techniques and intelligent decision-support systems. My current work integrates computational intelligence with multi-omics data modeling to advance cancer diagnosis, biomarker discovery, and precision medicine. I have authored numerous peer-reviewed publications in high-impact journals such as Expert Systems with Applications, Artificial Intelligence Review, and IEEE Access. In addition, I serve as a reviewer for several leading journals in artificial intelligence, data science, optimization, and computational biology. My broader interests include evolutionary computation, swarm intelligence, interpretable machine learning, deep learning, and large-scale data analytics. I am committed to advancing intelligent optimization methodologies and applying them to complex scientific, engineering, and biomedical challenges through interdisciplinary collaboration.