Skills
Quantum machine learning, Variational quantum algorithms, quantum simulation
Scientific computing, programming, Research design and execution, mentoring and teaching, open-source contribution
About
I am an applied mathematician and quantum computing researcher with experience in quantum machine learning, hybrid quantum-classical models, and scientific computing. I have worked on projects at the intersection of healthcare, physics, and computational science including quantum-enhanced tumor classification, hybrid quantum models for image segmentation, and error mitigation in quantum annealing.
My background spans theoretical physics, numerical modelling, data analysis, and algorithm development. Professionally, I have contributed to IBM Quantum as a Research Scientist and Quantum Community Advocate, designing quantum computing resources, contributing to Qiskit open-source tools, and supporting global learners through mentorship. I bring strong analytical thinking, research communication, and problem-solving skills, with a growing interest in applying quantum technologies to real-world scientific and medical challenges.
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