Current Research
I am interested on the following research topics:
- Sustainability
- Energy Transition Minerals Demand & Supply Modeling
- Industrial Decarbonization
- Air Quality Health Impacts
- Data Science
Research Methods and Toolkit
- Tools from Industrial Ecology to model the flow and environmental impact of products/services across their supply chain and life stages. Main tools I use are dynamic Material Flow Analysis (dMFA) and Life Cycle Assessment (LCA).
- Engineering methods such as Optimization to model agent behavior and find optimal solutions towards decarbonization. My engineering background gives me a strong understanding of the physical and chemical processes that govern nature, which are key to environmental modeling.
- Statistical methods to handle uncertainty in modeling and forecasting, fill data gaps, pattern recognition and causality inference. I primarily use machine learning and econometric models..
- Geographic information systems (GIS) to incorporate spatial dimensions of environmental impacts into my models.
- Policy analysis to connect insights from my research into relevant, evidence-driven and actionable policy recommendations.
- All my research is powered by strong computer programming skills, especially in R, Python, and Julia.
Data and Code
I believe in transparency and reproducibility in science, so I aim for public code and data repository for all my publications. You can find most of the model code and data on my GitHub. Please let me know if you have any questions.