PhD. Haebum Lee

Postdoctoral Scholar

Jaffe Group,
School of STEM,
University of Washington (UW),
Bothell, WA, United States

Hello, and Welcome to my Blog! I am a scientist who focus on the multifaceted study of air quality and atmospheric phenomena, including the analysis of wildfire smoke on ozone, air pollutant monitoring, and the utilization of satellite and remote sensing data to assess atmospheric parameters. I am also deeply engaged in studying the wildfire smoke impacts on air quality, the physicochemical properties of atmospheric aerosols, the dynamics of new particle formation, and the development of predictive models using machine learning.

This blog is to explain R techniques and how to integrate them into your research. I hope everything is useful, thank you.

Research Interests

  • Wildfire smoke impacts on air quality
  • Air pollutant & air quality monitoring
  • Analysis of atmospheric parameters using satellite and remote sensing data
  • Physicochemical properties of atmospheric aerosols
  • Observation of atmospheric new particle formation (NPF) and growth mechanisms
  • Observation of nanoparticles at the remote (Arctic), urban, and agricultural sites
  • Development of NPF-related and particle morphology prediction model using machine-learning techniques
  • Characterization of nanoparticles and sub-micrometer particles in the ambient atmosphere
  • Analysis of morphology and elemental composition of ultrafine particles in the ambient atmosphere

Education & Experiences

  • Postdoc / 2023.04-present
    Jaffe Group, School of Science, Technology, Engineering & Mathematics (STEM),
    University of Washington (UW), Bothell, WA, United States
  • Postdoc / 2022.08-2023.03
    Center for PM2.5 monitoring research, School of Earth Science & Environmental Engineering,
    Gwangju Institute of Science & Technology (GIST), Gwangju, Republic of Korea
  • PhD / 2018-2022
    Aerosol Technology Monitoring Lab (ATML), School of Earth Science & Environmental Engineering,
    Gwangju Institute of Science & Technology (GIST), Gwangju, Republic of Korea
  • MS / 2016-2018
    Aerosol Technology Monitoring Lab (ATML),School of Earth Science & Environmental Engineering,
    Gwangju Institute of Science & Technology (GIST), Gwangju, Republic of Korea
  • BS / 2010-2016
    Chemistry, Kyung Hee University, Seoul, Republic of Korea

Technical skills

  • Aerosol measurement techniques & Instrumentation

    • Condensation particle counter (CPC)
    • Scanning mobility particle sizer (SMPS)
    • Diethlyeneglycol- Scanning mobility particle sizer (DEG-SMPS)
    • Optical particle counter (OPC)
    • Aethalometer (Measurement of BC mass concentration and absorption coefficient)
    • Organic and elemental carbons (OC/EC) analyzer
    • Laser-induced breakdown spectroscopy (LIBS) technique
    • Construction of the optic chamber for LIBS system
    • Construction of face mask and filter test measurement system
    • Lab-scale particle generation using Atomizer

  • Computer Programming & Software

    • Machine/deep learning techniques using R
    • Air mass backward trajectory analysis (HYSPLIT) using R
    • Spatiotemporal and Geographic Information System (GIS) data analysis using R
    • Statistical analysis using R
    • Data collection based on Application Programming Interface (API) using R
    • Image pretreatment and analysis using R