Teaching Approach

I am an innovative educator who develops and implements evidence-based teaching practices that combine theoretical rigor with practical application. My teaching philosophy emphasizes clarity, engagement, and iterative learning—with strong student outcomes and recognition through teaching awards, conference presentations, and institutional contributions.

I have supervised over 100 graduate placements, capstones, and research projects across data analytics, artificial intelligence, and business intelligence. I teach at the undergraduate and graduate levels, with a focus on preparing students for real-world analytics challenges while fostering responsible use of AI and emerging technologies.

Areas of Expertise

Business Analytics

Advanced analytics techniques, data-driven decision making, and business intelligence strategies. From the analytics lifecycle to applied capstone projects.

Artificial Intelligence

AI applications in business, machine learning fundamentals, and ethical AI implementation. Practical guidance on responsible use, validation, and limitations.

Programming & Development

Python programming, SQL database development, and data engineering principles. Hands-on workflows for data wrangling, management, and visualization.

Research Methods

Research methodology, ethics in data science, and program evaluation techniques. Thesis development and applied study research.

Public Learning Resources

These open materials were built for learners who are getting started with coding, data analysis, and applied analytics. They complement my university teaching and community workshops.

Data Analysis with Excel

A practical series on using Excel for data analysis, reporting, and spreadsheet-based problem solving.

Star Trek Python

Introductory Python examples built around Star Trek scenarios and approachable coding exercises.

Teaching Innovation

AI in the Classroom

Developed and integrated applied AI and analytics learning activities with explicit guidance on responsible use, validation, and limitations. Authored Navigating AI in the Classroom for the University of Lethbridge Teaching Centre. Contributed to institutional AI governance policies and the AI in Teaching and Learning Working Group.

Alternative Assessment

Pioneered negotiated grading, ungrading, and peer assessment. Co-authored research on educator experiences of negotiated grading (published in Canadian Journal for the Scholarship of Teaching and Learning). Presented at Spark Teaching Symposium on alternative grading and academic integrity in digital environments.

HyFlex & Flexible Learning

Expert in HyFlex course design and delivery. Published on HyFlex teaching in Light on Teaching and contributed to open educational resources for post-secondary faculty. Delivers courses in HyFlex format to support diverse learning needs.

Interactive Learning Tools

Integration of DataCamp, hands-on workshops, and real-world project work. Python/SQL/Excel workflows, templates, and worked examples to support iterative learning and formative feedback. Video feedback tools (e.g., Loom) for personalized engagement.

Industry Collaboration

Partnership with industry leaders through Mitacs placements, applied research projects, and capstone supervision. Students gain professional experience while tackling real organizational problems in analytics, AI, and digital transformation.

Public Teaching & Knowledge Mobilization

Delivered public-facing sessions that translate AI concepts into accessible, practice-oriented material—including City of Lethbridge workshops, Public Professor lectures, and coding camps for teens and community learners.

Teaching Recognition & Service

Selected Courses (University of Lethbridge)

I teach a range of courses in business analytics, data science, and AI at the undergraduate and graduate levels. Key offerings include:

Courses are delivered in HyFlex format where applicable. I also offer independent studies in AI pipeline development, data strategy, and applied research.

Additional Courses Taught and Developed

Across university, college, community, and professional settings, my teaching has covered analytics foundations, programming, databases, Excel, marketing analytics, ethics, IoT, capstones, placements, and applied research supervision.