I am a statistician and machine learning researcher with interests in biomedical data science, explainable artificial intelligence, and reliable predictive modeling. I hold an M.S. in Statistics from The University of Akron and am pursuing an M.S. in Applied Statistics with a concentration in Machine Learning and Data Science at Georgia State University. My research focuses on developing interpretable and statistically reliable models for high-dimensional, small-sample, and multimodal biomedical data, particularly in cancer classification and clinical decision support. I am also interested in model validation, feature stability, calibration, and the responsible application of AI in healthcare. My long-term goal is to advance trustworthy AI research and pursue an academic career in statistics, machine learning, and biomedical data science.