Education
Ph.D. in Statistics, University of Amsterdam, the Netherlands
MSc. in Econometrics & Operations Research, University of Groningen, the Netherlands

Graduate  training
Advanced linear programming; Non-linear programming; Stochastic programming; Combinatorial programming; Advanced econometrics (theory); Asymptotic theory; Time series analysis and econometrics; Micro-econometrics; Management Science; Advanced statistical theory; etc. 

Modern  Data Science/Programming
Machine learning algorithms;  Deep learning;  LLM models; Generative AI; Expert R programmer including Shiny for web-based dash boarding; Python for implementing deep learning algorithms; etc.

Teaching Interests  
Statistical Learning; Business Analytics; Prescriptive Analytics (Management Science) 
Forecasting; Time Series & Financial Econometrics ; Machine/Deep Learning; Statistical Theory

Courses (School of Business in University of Alberta, Canada)
MGTSC 705 (doctoral course):  Multivariate Data Analysis
MGTSC 707 (doctoral course):  Applied Business Analysis of Time Series  and Panel Data 
MGTSC 405:  Forecasting for Planners & Managers

Current Courses
ISDS 526:  Forecasting for Analytical Decision Making
ISDS 513: Statistical Analysis
ISDS 477: Applied Business Forecasting
ISDS 361: Business Analytics (both Descriptive and Prescriptive Analytics)

Old  Courses (University of Amsterdam)
- Financial Time Series Analysis (graduate course)
- Applied Econometrics
- Time Series Econometrics