I am a dedicated researcher inspired to harness the potential of quantum computing in machine learning applications. My education and research are rooted in exploring the intersection of quantum computing, machine learning and information theory. As a current graduate researcher at Johns Hopkins University, I am investigating the role of spatially and temporally correlated noise in variational quantum algorithms.I am committed to pushing the boundaries of what is computable, driven by an eagerness to explore the untapped potential of quantum technologies in addressing real-world challenges. By leveraging my expertise in designing robust architectures and exploring realistic noise models in quantum systems, I am committed to developing practical applications for quantum machine learning.