Natasha

Climate scientist and quantitative analyst with 4+ years of postdoctoral research experience applying numerical models, statistical analysis, and large-scale climate datasets to understand atmospheric variability and climate risk. Experienced in high-performance computing, scientific programming, and translating complex climate signals into actionable insights. Strong international background across research and teaching environments in the UK, China, and the United States.

Currently expanding industry-focused data science skills through the IBM Data Science Professional Certificate.

Postdoctoral Research Scientist - NASA Goddard Institute for Space Studies / Columbia University

(2023-07 - 2026-01)

• Conducted high-resolution climate simulations to improve representation of stratospheric variability and teleconnections in global climate models
• Analyzed large multidimensional climate datasets to identify trends and model biases
• Developed computational workflows for model diagnostics and visualization
• Collaborated across scientific teams to improve predictive climate capability
• Presented findings in technical reports, conferences, and publications

Postdoctoral Research Scientist - University of Arizona

(2021-11 - 2023-06)

• Investigated relationships between tropical variability and stratospheric climate signals using observational and modeled datasets
• Applied statistical analysis across multiple climate datasets to assess robustness of climate relationships
• Worked independently and collaboratively on publication-driven research projects
• Produced visual and written outputs for scientific and broader audiences

PhD Researcher — Atmospheric Physics - Imperial College London

(2016 - 2021)

• Designed and ran coupled atmosphere–ocean simulations using Fortran-based climate models
• Developed MATLAB analysis pipelines for interpreting large simulation outputs
• Evaluated climate interactions relevant to long-term variability and atmospheric dynamics
• Led independent research from model design through publication

Mathematics and Physics Teacher - Shanghai Experimental School

(2015 - 2016)

• Designed and delivered IGCSE Mathematics and Physics lessons, assignments, and exams
• Communicated complex technical material clearly to students with limited English proficiency
• Adapted teaching methods across varied learning styles

Graduate Teaching Assistant - Imperial College London

(2016 - 2019)

• Taught university mathematics and physics tutorials
• Supported student problem-solving and quantitative reasoning

PhD - Atmospheric Physics - Imperial College London

MSci - Mathematics & Physics - Durham University