Teaching
I currently teach Tulane courses on Applied AI, the Impact of AI, and Data Analytics.
Current Courses
AI and Society
This course examines the impact of widely available artificial intelligence on society and its strategic implications. Students explore AI's influence across various sectors including education, work, business, and entertainment industries. Through a blend of lectures, student-led research, debates, and simulations, the course helps students develop strategies to navigate and create value in an AI-influenced world.
Fall 2026: TR 11:00 and 12:30
Overall student course evaluations of 4.6 out of 5 and instructor evaluations of 4.8.
Artificial Intelligence Tools
This course gives students hands-on experience with the latest in artificial intelligence technologies, including ChatGPT, Claude, and Gemini. It covers the practical applications of AI in collecting, generating, transforming, analyzing, and communicating information for personal and professional tasks.
Fall 2026: TR 9:30 · Summer 2026: May 26–June 26 Asynchronous Online
Overall student course evaluations of 4.7 out of 5 and instructor evaluations of 4.8.
Introduction to Data Analytics
This course introduces students to the fundamentals of data analytics in today's business world. Students learn about data collection, analysis, and decision-making through hands-on experience with tools like Google Sheets and AI assistants. The course combines experiential learning with real-world applications, helping students understand how companies use data analytics to make strategic decisions and create value through problem-solving.
Summer 2026: Maymester, May 11–22 Online
Overall student course evaluations of 4.8 out of 5 and instructor evaluations of 4.9.
Applied Data Analysis
This course provides a hands-on, project-based approach to data analysis, emphasizing evidence-based decision-making for real-world problems. Students work through the full analytical pipeline — from formulating research questions and collecting data to cleaning, analyzing, and interpreting diverse datasets using current tools, including AI. The course builds critical thinking skills for spotting data misuse and statistical fallacies, and teaches students to translate analytical findings into compelling narratives and strategic recommendations.
This course has not yet been offered.
Past Courses
Management of New Ventures — MGMT 4610
In Management of New Ventures, students worked in teams to evaluate, develop, and communicate business ideas, utilizing data analysis and leveraging connections in the local startup ecosystem. The course aimed to provide a theoretical and practical framework for understanding and managing new ventures, incorporating personal entrepreneurial experiences to instill an entrepreneurial mindset among students.
Global Business Projects — MGMT 6150
Global Business Projects was a graduate-level course where student teams developed international expansion strategies for clients using data analysis and data-driven decision-making. The course included guest speakers from local industries and visits to significant business locations in New Orleans, aiming to give students practical insights into global business operations. It was mainly offered to Professional MBA (PMBA) students.
Global Leadership I (MGMT 6510) & Global Leadership IV (MGMT 6540)
These courses were part of the Master of Management and MBA programs, respectively, focusing on global leadership challenges and strategies. In addition to class meetings they included travel to either India or China, offering students immersive learning experiences that combined academic study with real-world international exposure.
