Our Researchers
Faculty, fellows, and graduate researchers advancing the science and application of business analytics — from healthcare AI to environmental data to financial forecasting.
Research Themes
The Institute's research is organized around six applied themes — each connecting data science methods to real-world domains.
Machine Learning & AI
Deep learning, interpretable AI, fairness and bias mitigation, and responsible deployment of ML systems in business and public sector contexts.
Health Analytics
Clinical NLP, EHR data mining, readmission prediction, health equity measurement, and AI for clinical decision support.
Finance & Risk
Credit risk, fraud detection, algorithmic trading, portfolio optimization, and financial time series forecasting.
Environmental Analytics
Coastal resilience, wetlands monitoring, climate adaptation modeling, and remote sensing analysis for Louisiana ecosystems.
Social Impact & Equity
Housing, food access, educational equity, criminal justice, and community development analytics rooted in justice-oriented methodologies.
Business & Operations
Supply chain optimization, demand forecasting, marketing analytics, customer behavior modeling, and operational efficiency.
Who's Behind This Work
Learn more about the people leading the Callais Institute, or explore open research and graduate assistantship positions.
Collaborate with Our Researchers
Interested in a research partnership, co-authorship, or applied project? Reach out to the Institute to start the conversation.