ANDERSON J. PARK

Software engineer and Physicist

I earned my dual B.A. degrees in Data Science and Physics from UC Berkeley. I bring hands-on experience in building high-performance simulation tools, distributed computing frameworks, and scalable data pipelines. My technical foundation spans Python, C++, Java, and SQL, with a strong emphasis on machine learning, HPC, and end-to-end system design.

My project portfolio includes scalable word count systems using Ray, machine learning pipelines with PyTorch, and interactive web tools tailored for quantum research communities. I thrive in fast-paced, cross-disciplinary environments where clean architecture, data reliability, and impactful outcomes drive innovation.

Ion Trap Engineering

My research in ion trap systems spans both theoretical and experimental work at UC Berkeley and Sungkyunkwan University.

At the Ion Trap Group under Professor Hartmut Häffner, I developed ML optimization models in PyTorch to extract optimal laser control parameters from noisy quantum hardware data, improving fidelity of frequency-modulated quantum gates. I also led the design of a thermal control system using laser heating and isolation techniques to achieve stable control of ion fluorescence at 500K, enabling robust and accurate initialization of quantum states in trapped-ion computers. This work was documented in both a research poster and a technical paper as part of the Berkeley Physics & Astronomy Undergraduate Research Scholars Program (BPURS).

In parallel, I collaborated with Professor Junki Kim at QuETI on developing a trapped-ion Hamiltonian simulator for a simplified spin-boson system. I built a Molmer-Sørensen gate simulator to track quantum state evolution and spin-motion entanglement over time—enabling more accurate modeling of gate-level interactions in ion-based quantum computers.

Quantum Computing KR

I lead Quantum Computing KR, a Korean-language community dedicated to making quantum computing more accessible to students, researchers, and professionals.

Through this initiative, I created structured educational resources and documentation in Korean, covering topics from quantum algorithms to Qiskit tutorials. I also organized in-person seminars and online events featuring guest speakers from academia and industry, helping foster cross-institutional collaboration and technical learning within the community.

The group continues to serve as a hub for over 700 members and growing, offering peer support, collaborative learning, and a centralized hub for Korean-language quantum computing discussions.