• B.S., Environmental Engineering, Cornell University
  • B.S., Biometry & Statistics, Cornell University
"In nature, we never see anything isolated, but everything in connection with something else." — Johann Wolfgang von Goethe

Xindi Liu

Scientist

Education

B.S., Environmental Engineering, Cornell University B.S., Biometry & Statistics, Cornell University

Key Expertise

  • Programming with R Studio/R and Python, and using packages such as tidyverse, ggplot2, dplyr, etc.; experience using Git, High-Performance Computing tools, and Google Earth Engine
  • Statistical analysis, data wrangling, modeling and visualization, reproducible analytical workflows, QA/QC, and technical documentation
  • Climate-health research, systematic literature review, scientific writing, and communication

Profile

Xindi Liu is an environmental data scientist with experience analyzing large-scale contaminants and ecological and climate datasets to support human health risk assessment, environmental modeling, and policy-relevant research. Her work focuses on integrating statistical analysis, data engineering workflows, and spatial tools to evaluate exposure pathways and translate complex environmental data into actionable insights.

She has supported projects spanning sediment and contaminant risk assessment, climate-health research, and Arctic climate modeling across government, nonprofit, and academic research environments. Xindi is skilled in reproducible data analysis, systematic literature review, and high-volume dataset processing, and is recognized for communicating complex scientific results through clear technical assessments and presentations for scientific and stakeholder audiences.

Service Areas