I earned dual B.A. degrees in Data Science and Physics from UC Berkeley. I bring hands-on experience in designing and deploying high-performance simulation tools, distributed computing frameworks, and robust data processing pipelines using Python, C++, Julia, and SQL.
My project portfolio includes scalable word count systems using Ray, machine learning pipelines with Qiskit and Pennylane, and interactive web tools for quantum research communities. I thrive in fast-paced, cross-disciplinary environments where clean architecture, data reliability, and meaningful impact are top priorities.
I am currently pursuing a dual B.A. in Physics and Data Science at the University of California, Berkeley, with a strong focus on computational modeling, simulation, and data engineering.
Throughout my undergraduate studies, I’ve worked across theoretical and experimental domains—bridging scientific research with real-world engineering applications. My experience spans quantum computing, particle physics, and systems development in both academic and national lab environments.
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 led the development of a continuous wave laser heating system designed to optimize deterministic ion loading for quantum experiments. I engineered cryogenic-compatible components, aligned high-powered lasers for fluorescence detection, and enhanced IonSim
—a Julia-based simulation framework for trapped-ion dynamics—boosting its performance, modularity, and accessibility for future research.
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.
From 2020 to 2022, I served as a Sergeant in the Republic of Korea Army, assigned to the U.S. Army's 2nd Infantry Division as part of the KATUSA (Korean Augmentation to the United States Army) program.
During my service, I led a team of medics and KATUSA soldiers, developed secure communication pipelines between U.S. and ROK forces, and implemented a real-time health tracking system to monitor battalion readiness and improve emergency response times. I also had the honor to be the first KATUSA instructor for Combat Life Saver (CLS) certification, resulting in over five ROK army soldiers completing the program under my guidance.
For my service, I was honored with the Army Commendation Medal from the United States Army and the Army Warrior Award from the Republic of Korea Army. I also received two Certificates of Achievement from the U.S. Army in recognition of leadership and performance excellence.
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 central place for Korean-language quantum computing discussions.
I founded El Classic Berkeley, the Korean soccer club at UC Berkeley, in August 2022. What began as a casual community for Korean students has since grown into a well-organized team known for its spirit, inclusivity, and competitive play.
As team captain from 2022 to 2024, I led both on and off the field—coordinating matches, organizing training sessions, and managing club operations and recruitment. Under my leadership, the team grew in size and recognition, building a tight-knit community for Korean students through weekly practices, tournaments, and social events.
Quantum Mechanics
Electrodynamics
Instrumentation Laboratory
Quantum Information Science
Machine Learning
Data Structures
Efficient Algorithms and Intractable Problems
Artificial Intelligence
Python, C++, Java
RStudio, SQL, Excel
Julia,
NumPy, pandas, Matplotlib
Scipy, Qiskit, Pennylane