About

I am an environmental data scientist and ecosystem modeler with a Ph.D. in Environmental Dynamics (University of Arkansas, 2026). My research integrates satellite remote sensing, eddy covariance flux measurements, and machine learning to quantify carbon cycling, greenhouse gas emissions, and land surface dynamics — from individual fields to the state scale.

My current work at the University of Arkansas Office of Sustainability applies these methods to institutional carbon footprint analysis and decarbonization planning. I am seeking interdisciplinary research and analyst roles where computational modeling and spatial data science can inform multi-sector climate and sustainability decisions.

Growing regulatory and institutional pressure has created strong demand for scientists who combine quantitative rigor with applied environmental systems knowledge. (Pavlov et al., Nature Sustainability, 2024 · Lee, Nature, 2026)

Research Interests

Carbon & GHG Flux Modeling Remote Sensing & GIS Machine Learning in Ecology Multi-Sector Decarbonization Sustainability Analytics Environmental Policy Ecosystem & Crop Modeling Life Cycle Assessment Integrated Assessment

Technical Skills

Pythonpandas · scikit-learn · xarray · scipy

Rggplot2 · tidyverse · mgcv · sf

Google Earth EngineJavaScript API · large-scale analysis

GISArcGIS · QGIS · ModelBuilder

Satellite Remote SensingLandsat · Sentinel · MODIS

Machine LearningXGBoost · Random Forest · GAM

Ecosystem ModelingVPM · NEE gap-filling · CH₄ flux

Eddy CovarianceEddyPro · LI-7500/7700 · AmeriFlux

Carbon AccountingGHG footprint · decarbonization analysis

Reproducible ResearchGit · GitHub · LaTeX

Scientific Contributions

7Publications

4First Author

76Citations

4h-index

3i10-index

8Conferences

Google Scholar · updated July 2026

Affiliations

FLUXNET Early Career Scientist Network
American Geophysical Union — Student Member

Riasad Bin Mahbub