Research context
I am an Applied Physics student at Warsaw University of Technology and a research intern in a research and technical role at the Center for Theoretical Physics, Polish Academy of Sciences in Warsaw. My work focuses on quantum computing, machine learning, and data analysis, with experience using IBM Quantum, Qiskit, Python, and experimental datasets. I have worked on multi-qutrit graph states, Bell tests, error mitigation, and machine learning methods in high-energy physics. I am interested in research-driven innovation, pilot projects, and collaboration with companies, funding partners, and research teams.
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This profile still has room for short updates about experiments, pilots, and what is moving forward.
What I bring
I bring a strong background in applied physics, quantum computing, machine learning, and scientific data analysis. My experience includes research work with IBM Quantum, Qiskit and high-energy physics datasets. I can support research teams by combining technical implementation, data-driven analysis, and a practical understanding of how early-stage scientific ideas can move toward real-world applications.
Looking for
I am looking for opportunities to collaborate with research teams, companies, startups, investors, and funding partners interested in quantum computing, AI-for-science, and research-driven innovation. I am especially interested in pilot projects, applied research collaborations, and commercialization paths where scientific ideas can be tested, developed, and turned into practical value.