Resume이력서

Professional experience and academic achievements

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Songgun Lee

songgunlee@ucsb.edu | LinkedIn: linkedin.com/in/songgun-lee-562991227/ | GitHub: github.com/sgjlee0520

Education

University of California, Santa Barbara

Bachelor of Science in Physics | Expected Graduation: 2027 | GPA: 3.7/4.0

  • Relevant Coursework: Quantum Mechanics, Statistical Mechanics, Computational Physics, Linear Algebra, Differential Equations
  • Focus Areas: Computational modeling, data analysis, mathematical physics

Research Experience

Undergraduate Researcher, Mazur Lab (Prof. Greg Mazur)

UC Santa Barbara Physics · Condensed-matter / quantum devices (Ge/SiGe) · May 2026 - Present

  • Prepared and delivered two group-meeting talks for lab onboarding: quantum wells / 2DEG-2DHG and heterostructure band offsets on the Ge platform; and metal-semiconductor junctions / Schottky barriers explaining why Ge superconducting contacts require annealing (from Sze & Ng, Neamen, Pierret, and Tung 2014)
  • Reasoned the ohmic-contact chain on covalent Ge (Schottky barrier and Fermi-level pinning → heavy doping + anneal / germanide) and explained Rashba spin-orbit coupling under questioning; built working understanding of SdH oscillations, Landau levels, Zeeman effect, and Rashba splitting
  • Took operational responsibility for an Oxford Instruments Proteox dilution refrigerator (cooldown/warm-up, cryogenic and magnet safety; assisting with installation and filter components)
  • Characterized the lab RF environment (600-6000 MHz) with a Tektronix RSA306B and log-periodic antenna via a directional Max-Hold survey (10,000 traces × four directions), accounting for airport radar near 2775/2850 MHz and operating Qblox QSM electronics
  • Completing Palmström Lab (MBE collaborator) access and safety onboarding; building familiarity with Nb/Mo on Ge/SiGe sputtering, RTA germanides, and HF vs Ar-milling interface prep

Experience

New Venture Competition - Masterminding Startup

Team Lead | 2024 | 3rd Place Winner

  • Led team of 4 in developing data-driven startup concept
  • Conducted market research and competitive analysis
  • Presented business plan to panel of industry judges

Korean Army Service, ROK Army, 4.2" Mortar FDC Calculator

Military Service | 2021-2023

  • Served as Fire Direction Control (FDC) calculator for a 4.2" mortar unit; responsible for real-time ballistic computations under operational conditions
  • Authored operational manuals for the unit; adopted a "Us vs. Problem" leadership framework focused on win-win conflict resolution
  • Completed a 20-mile tactical night march in freezing rain. That experience developed a "one step at a time" mental discipline now applied to complex problem-solving in physics and finance

Construction Work, Field Labor, South Korea

Field Experience | 2020-2021

  • Performed physical fieldwork on construction sites in Korea prior to university; built foundational financial discipline and real-world operational awareness
  • Experience shaped an early drive toward investing and financial self-sufficiency, pursued in parallel with academic and entrepreneurial work

Technical Skills

Programming & Scripting

Python (Advanced OOP/Scripting), Shell Scripting (Bash Automation), MATLAB, JavaScript, LaTeX, PostScript

Quantitative & Numerical Analysis

Stochastic Modeling (Monte Carlo), Numerical Methods (PDE/Finite Difference), Signal Processing (FFT/PSD), Statistical Analysis (Chi-Squared, Hypothesis Testing)

Data Science & Engineering

NumPy, Pandas, SciPy, Web Scraping, JSON Database Management, Sockets (TCP/IP), Hardware Interfacing (I2C/GPIO)

Applied Tools

Linux/Unix (CLI), Git, Raspberry Pi, Computer Vision (ImageJ/FIJI), Hardware Integration (Oscilloscopes)

Projects

Automated Warehouse Inventory System (Capstone)

Python, Tkinter, JSON | 2024

  • Architected a full-stack inventory management system with event-driven GUI and USB barcode-scanner integration
  • Implemented persistent JSON database and state management across sessions

Numerical PDE Solver (Finite Difference / Relaxation Method)

Python, NumPy | 2024

  • Built a 2D grid-based solver applicable to option-pricing boundary-value problems
  • Verified convergence behavior against analytical solutions

Monte Carlo Methods & Stochastic Calculus

Python, NumPy, SciPy | 2024

  • Implemented Monte Carlo simulations to solve deterministic problems; analyzed convergence rates (1/√N)
  • Applied to option-pricing and π estimation with theoretical validation

Interests

Computational Physics, Physics Research, Machine Learning, Computer Vision, Analog Photography, Analog Lifestyle