A highly accomplished and innovative Quantum Computational Scientist with expertise in Quantum computing, Machine learning, and Computational mathematics. She has a proven track record of developing cutting-edge quantum algorithms for applications in ground state estimation, hybrid quantum-classical neural networks, and quantum machine learning. Her strong background spans academia, research, and industry, with extensive experience in Python, IBM Qiskit, and PyTorch. She is passionate about advancing the frontiers of quantum computing, particularly its applications in machine learning, and optimization.