I’m a fourth-year Computer Science undergraduate student at St. John’s University, conducting research in both classical and quantum machine learning.
My work includes developing quantum kernel methods and QSVM-based anomaly detection for vehicular networks, building regression and clustering models for chemical property prediction, and fine-tuning transformer architectures like BioBERT on large-scale MIMIC-IV clinical notes for clinician burnout detection. I’m always open to collaborating with researchers and practitioners interested in applying advanced machine learning to complex problems.