Emma PAN
Melbourne,VIC
Summary
Climate science candidate with hands-on experience in data analysis, risk modeling, and science communication. Proficient in Python, NCL, and tools such as Bayesian networks, logic trees, and ISO31000 risk matrices. Skilled at translating technical insights into actionable strategies and public-facing content.
Overview
1
1
year of professional experience
Work History
Intern
Shanghai Meteorological Bureau
Shanghai, China
01.2024 - 03.2025
- Planned and supported 2024 World Meteorological Day outreach, including drafting proposals, designing questionnaires, assisting interviews, and writing climate educational blog posts.
- Helped translate parts of the IPCC AR6 Public Summary and co-authored blog posts to promote climate awareness.
- Processed CMIP6 and ERA5 data using Python and NCL to map seasonal precipitation across China (1989–2020); analyzed summer–winter contrasts and their drivers such as moisture sources & transport, circulation, and topography.
Education
Master of Science - Climate Science
University of Melbourne
Parkville, VIC06-2026
Bachelor of Science - Atmospheric Science
Nanjing University of Information Science And Tech
Nanjing China06-2024
Skills
- Python programming
- Public outreach
- Problem solving
- Communication skills
- Event Tree & Bayesian Map
- Monte Carlo simulation & ISO31000 risk matrix
- Teamwork and collaboration
- Adaptability and flexibility
- Microsoft office
Timeline
Intern
Shanghai Meteorological Bureau
01.2024 - 03.2025
Master of Science - Climate Science
University of Melbourne
Bachelor of Science - Atmospheric Science
Nanjing University of Information Science And Tech
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