Academic Profile
A record of peer-reviewed research, national conference presentations, and cross-institutional collaboration spanning applied economics, agricultural systems, and artificial intelligence — the scholarly foundation beneath Mario's deployed decision-intelligence systems.
- 4
- Graduate & undergraduate degrees
- 2
- Peer-reviewed research works
- AAEA
- National conference presentation
- In Progress
- M.S. Artificial Intelligence
Publications & Research
- Conference Presentation2019 · Presented
Characteristics of Hog Producers and How Those Characteristics Affect the Rate of Adoption of Technologies Used in the Hog Industry: Evidence from Hog Producers in the United States
Carrillo Cifuentes, M. R., et al.
Agricultural & Applied Economics Association (AAEA) Annual Meeting
An econometric study of how producer characteristics influence the rate of technology adoption across the U.S. hog industry, using national producer survey data and discrete-choice modeling.
EconometricsTechnology AdoptionDiscrete Choice Models - Applied Research Study2018 · Completed
Effects of Winter Housing Systems on Production, Economics, Body Weight, BCS, and Bedding Cultures for Organic Dairy Cows
Research collaboration, University of Minnesota
Applied Agricultural Systems Research
A collaborative applied study evaluating how winter housing systems affect production output, economics, animal body condition, and bedding microbiology in organic dairy operations.
Experimental DesignStatistical ModelingAgricultural Economics
Conference Presentations
Technology Adoption in the U.S. Hog Industry
Decision Intelligence for Agricultural Supply Chains
Research Collaborations
University of Minnesota
Applied Economics & Agricultural Systems
Econometric research on producer behavior, technology adoption, and organic dairy production systems.
University of St. Thomas
Artificial Intelligence
Graduate research applying machine learning and generative AI to decision-support systems.
CHS Inc. & Brave Resources Inc.
Industry Research Translation
Translating forecasting, optimization, and risk research into deployed production systems at scale.
Ongoing Research Interests
Decision Intelligence
Unifying forecasting, optimization, and simulation into accountable, explainable decision-support systems.
Agentic AI for Operations
Autonomous LLM-based agents that reason over operational data and recommend executive-level actions.
Supply Chain Resilience
Risk-aware planning models that anticipate, absorb, and recover from disruption to critical goods.
Applied Econometrics
Causal and behavioral modeling of technology adoption and economic decision-making in agriculture.
Explainable & Trustworthy AI
Interpretability methods that make high-stakes models transparent and defensible for decision-makers.
Probabilistic Forecasting
Uncertainty-aware time-series methods that remain reliable under real-world volatility.