About me
I am an Associate Energy Systems Analyst at Argonne National Laboratory, where my work integrates environmental science, software engineering, and data science to advance the field of Life Cycle Assessment (LCA). Since joining Argonne in 2023, initially as a Postdoctoral Appointee, I have focused on developing advanced computational frameworks that enhance the precision and scalability of environmental sustainability modeling.
Currently, I serve as the Lead Developer for the next-generation GREET (Greenhouse gases, Regulated Emissions, and Energy use in Technologies) model. In this capacity, I oversee the architectural evolution of a tool used by researchers and policymakers to evaluate the environmental footprint of energy and transportation systems. My objective is to bridge the gap between complex environmental datasets and high-performance software solutions to facilitate data-driven policy decisions.
Education & Background
Ph.D. in Chemical Science & Technology University of Salamanca, Spain (2019-2022)
- Thesis: A data-centric framework to perform chemical flow analysis (Summa Cum Laude)
- Advisors: Dr. Mariano Martin and Dr. Gerardo J. Ruiz-Mercado
M.Sc. in Materials and Processes Engineering National University of Colombia (2016-2018)
- Thesis: Detection of the critical points of the hot-dip galvanizing process: a focus on sustainability and sustainable development (Summa Cum Laude)
- Advisor: Dr. Hugo Hernandez
B.S. in Chemical Engineering National University of Colombia (2010-2016)
Technical Skills & Tools
Programming & Development
- Languages: Python, JavaScript, SQL
- Data Science, ML & AI: Scikit-Learn, PyTorch, LangChain, LangGraph
- Web Technologies: Streamlit, HTML, CSS, Django, FastAPI, React
Infrastructure & Tools
- Databases: PostgreSQL, MySQL, MongoDB, DBeaver
- Cloud & DevOps: AWS (S3, RDS, Lambda, Glue), Terraform, Git, GitHub, GitHub Actions, MLflow, Prefect
Professional Certifications
Research Focus
My research focuses on the development of multiscale computational frameworks that bridge the gap between industrial processes and supply chain system-level behaviors. By integrating sustainability methodologies with advanced software engineering and data-driven analytics, I create predictive, interpretable models designed for high-stakes environmental decision-making.
Explore my Research, Experience, and Software for more details.