About Dare Badejo¶
Applied Scientist specializing in AI-driven decision systems and sustainability optimization at Dow.¶
I am an applied scientist working at the intersection of artificial intelligence, optimization, and sustainability. My career is defined by a single mission: bridging rigorous research, industry practice, and data-driven decision-making to solve problems that matter.
Background¶
I am a Scientist at Dow, where I develop sustainability tools and frameworks, including life cycle assessment (LCA), techno-economic analysis (TEA), and data-driven decision models, helping industry leaders drive measurable environmental and operational impact.
Prior to Dow, I completed my PhD in Chemical Engineering at the University of Delaware, focusing on enterprise-wide optimization under uncertainty, integrated systems modeling, agent-based frameworks, interpretable machine learning, and sustainability-driven decision systems. My research bridges advanced analytical methods with practical applications, turning complex models into actionable insights for industrial and supply chain systems.
Earlier in my career, I gained hands-on experience in both academia and industry, at the University of Lagos and Eunisell Nigeria Limited, applying quantitative and data-driven methods to real-world process and operational challenges. These experiences cemented my ability to translate research into impactful, real-world solutions.
Core Expertise¶
| Domain | Capabilities |
|---|---|
| AI & Data-Driven Decision Making | Machine learning, interpretable models, predictive analytics |
| Stochastic & Mixed-Integer Optimization | Robust planning under uncertainty, disruption modeling |
| Multi-Agent & Systems Modeling | Agent-based simulation, complex systems design |
| Sustainability Analysis & LCA/TEA | Life cycle assessment, techno-economic analysis, AWARE water footprint |
| Supply Chain Resilience & Operational Efficiency | Network optimization, risk quantification, cost reduction |
Technical Skills Matrix¶
| Category | Technologies & Methods |
|---|---|
| Languages | Python, GAMS, SQL, MATLAB, R |
| Optimization Tools | Pyomo, GAMS, CPLEX, Gurobi |
| Data Science | Pandas, NumPy, Scikit-learn, TensorFlow |
| Visualization | Matplotlib, Plotly, Tableau, Power BI |
| Sustainability | LCA (openLCA, SimaPro), TEA, AWARE Water Footprint |
| Platforms | Git, Docker, Linux, HPC Clusters, Jupyter |
Leadership & Community¶
Beyond research, I am committed to building community and fostering the next generation of scientists and engineers.
- President, African Graduate Student Organization (AGSO)
- Member, Black Graduate Student Association (BGSA)
- Member, National Organization for the Professional Advancement of Black Chemists and Chemical Engineers (NOBCChE)
- Member, Colborn Club
The Bridge Between Theory and Impact¶
My work is not purely academic. Every model I build, every analysis I conduct, and every framework I design is guided by a single question: How does this create real-world value? From optimizing pharmaceutical supply chains to quantifying sustainability trade-offs in industrial systems, I ensure that rigorous science translates into actionable strategy.
Connect¶
LinkedIn · GitHub · Google Scholar