Research
A voracious appetite for high-impact research
My research uses statistics, machine learning, and applied analytics to study hospitality, tourism, gaming, and education. Recent work focuses on hotel demand forecasting, booking cancellations, revenue management, gambling behavior, and quantitative methods for hospitality students.
Research map
My research applies AI and data science to hospitality and gaming contexts
Papers
I have published in leading journals across multiple disciplines
Research
Conference presentations
19th International Conference on Gambling & Risk Taking
Quantifying luck: Determining the probability of baccarat wins given player bet mix
2025 GLI Regulator Roundtable
Characterizing UK online gamblers exceeding financial risk thresholds
14th European Conference on Gambling Studies and Policy Issues
An ordinal categorical variable approach to assessing measurement invariance using the theta parameterization for MG-CFA
Webinar on Safer Gambling: Insights from Leading Researchers & Applicability
Detection of customer transaction decline using machine learning
2023 Hawkes Learning Innovative Educators Summit
Teaching statistics in hospitality using R
26th ICRG Conference on Gambling and Addiction
Interpretable behavioral clusters of gamblers through unsupervised learning
EuroCHRIE Conference 2024
Interpretable forecasting of booking cancellations with stacked generalization
Nevada Annual State Conference on Problem Gambling
An assessment of the measurement invariance of the Problem Gambling Severity Index (PGSI)
International Conference on Gambling & Risk Taking
Predicting declined transactions in gambling payments data
2023 West Federation of Council on Hotel, Restaurant, and Institutional Education
Predicting cancellations in bookings using machine learning
Club de Convergentes
Avanzando en la ética y la gobernanza de la IA en el sector del juego: Un piloto de traducción de investigación
25th ICRG Conference on Gambling and Addiction
Clustering slot machine players using session-level transaction data
6th Annual RevME Hospitality Management and Analytics Conference
Machine learning prediction of hotel room demand
Graduate & Professional Student Research Forum