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A Curriculum Vitae of Lawrence Liu. January, 2024 Updated.

General Information

Full Name Lawrence Jing Yueh Liu (劉景岳)
Date of Birth 23rd March 1999
Languages Mandarin, English

Education

  • 2024 - current
    PhD
    Department of Climate, Meteorology, and Atmospheric Sciences, University of Illinois Urbana-Champaign, Illinois, United States
    • Advisor
      • Prof. Kelvin Kay Droegemeier
  • 2022
    M.S.
    Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan (Republic of China)
    • Advisor
      • Prof. Shu-Chih Yang
    • Thesis
      • Analyzing the convection development over northern Taiwan using a multi-scale radar data assimilation system with rapid update cycles
    • GPA
      • 4.18/4.3
  • 2021
    B.S.
    Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan (Republic of China)
    • Honors
      • College Dean's Award
    • GPA
      • 4.18/4.3

Experience

  • 2024 - current
    Graduate Research Assistant
    Department of Climate, Meteorology, and Atmospheric Sciences, University of Illinois Urbana-Champaign, Illinois, United States
    • Research on Prediction of Deep Convective Storms Using Radar and Other Fine-Scale Data in Physics- and Machine Learning-Based Models, August 2024 – present
  • 2022 - 2024
    Research Assistant
    Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan (Republic of China)
    • Research on multi-scale radar data assimilation, October 2022 – 2024
    • Research on Taiwan-Area Heavy rain Observation and Prediction Experiment / Prediction of Rainfall Campaign in the Pacific (TAHOPE/PRECIP) IOP3 events (with a multi-scale radar data assimilation framework), April 2023 – 2024
    • Research on scale-dependent inflation methods within WRF-LETKF (WRF model with Localized Ensemble Transform Kalman Filter), April 2023 – 2024
  • 2021-2022
    Teaching Assistant
    Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan (Republic of China)
    • Numerical Analysis I, August 2021 – January 2022
    • Special Topics on Data Assimilation, February 2022 – July 2022
  • 2020
    Summer Internship
    Central Weather Bureau, Taipei, Taiwan (Republic of China)
    • Special topic on simulating typhoon using an idealized barotropic vorticity equation, July 2020 – August 2020

Honors and Awards

  • 2022
    • Atmospheric Science Section Best Student Poster Award, Asia Oceania Geoscience Society
  • 2021
    • Graduation with College Dean’s Award (Rank 2 in class)
  • 2020
    • The Zhu Shun Yi He Qin Scholarship (Rank 1 of the college in the semester; $3000 Award)
  • 2020
    • Rank 3 in National Earth Science System Special Research Competition ($300 Award)
  • 2020
    • The Liu Ren Jie Alumni Scholarship ($600 Award)
  • 2018, 2020
    • Academic Excellence Award (top 2% of class in semester; $150)

Academic Interests

  • Deep Convective Storm Prediction
    • Evaluating AI/ML emulators in an idealized OSSE framework against known 3D truth
    • Understanding the physical consistency and predictability limits of storm-scale AI models
  • Data Assimilation
    • Developing ML-based data assimilation for efficient storm-scale analysis
    • Multi-scale radar data assimilation with ensemble methods (WRF-LETKF)
  • Machine Learning for Weather Prediction
    • Integrating physics-based NWP with AI/ML models (WoFSCast, GraphCast)
    • Improving physical interpretability of storm-scale ML forecasts

Skills

  • Programming: Python, PyTorch, Bash, MatLab, Fortran, GrADS
  • Models: WRF, WoFSCast, GraphCast, LETKF
  • Tools: Git, Linux, NCSA Delta (GPU cluster)

Other Interests

  • Hobbies: Map-holic, Railfan, Music, Storm Chasing, etc.