Nadine Mcheik

Skills

Quantum Computing, Quantum Information, Quantum Communication, Quantum Cryptography, Quantum Security, Blind Quantum Computing, Information Theory, Privacy-Preserving Machine Learning, Differential Privacy, Cryptography, Algorithms, Theory of Computation, Machine Learning, Scientific Computing, High-Performance Computing, Python, C++, Mojo, Data-Driven Modeling, Optimization, Quantum Random Number Generation, Quantum Networks, AI for Science, Software Engineering

About

I am a Computer and Communications Engineering graduate from the American University of Beirut, with a strong research interest in quantum information, quantum communication, quantum security, information theory, and privacy-preserving technologies.

My current research direction lies at the intersection of quantum information theory, privacy, and security. I am especially interested in blind quantum computing, information-theoretic security, differential privacy, maximal leakage, and how rigorous privacy metrics can be extended or adapted to quantum mechanisms and quantum protocols.

For my final year project, I worked on QUARC: Quantum Randomness for Cryptography, a low-cost optical quantum random number generation system based on photon detection and randomness extraction. The project connected quantum optics, cryptographic security, hardware-aware design, and statistical validation of randomness, and strengthened my interest in quantum technologies that can move from theory toward real-world secure systems.

I also completed a CERN internship within the Next Generation Triggers project, where I worked on porting parts of the standalone CMS pixel track reconstruction framework from C++ to Mojo. This experience gave me hands-on exposure to scientific software, high-performance computing, performance-oriented programming, and large-scale collaborative research environments.

This work contributed to the CERN-related conference contribution “Exercising the Novel and Promising Mojo Language in HEP Frameworks,” with authors from CERN and AUB. The contribution explores Mojo as a promising compiled, statically typed, Python-compatible language for future high-energy physics software, and includes work based on students porting parts of CMS pixel track reconstruction from C++ to Mojo.

My broader background includes algorithms, cryptography, machine learning, theory of computation, scientific computing, and quantum computing. I am open to research internships, visiting student opportunities, research assistant positions, and entry-level roles in quantum technologies, quantum communication, quantum software, information-theoretic security, and advanced scientific computing.

Beyond research, I have been active in scientific outreach and leadership as President of the ACM AUB Chapter, founder/president of the Quantum Club at AUB, and QAM Ambassador for Lebanon. I am motivated by building a serious research path in quantum technologies and contributing to work with real scientific and social impact.