Mohammad Fathi

I am a Ph.D. candidate in Marketing at the University of Wisconsin-Milwaukee’s Lubar College of Business, specializing in Quantitative Marketing and Management Information Systems. My research examines how consumers engage with digital content such as reviews, product descriptions, and social media, and how AI and data science can improve strategies in marketing, communication, and broader areas of business. I use machine learning, natural language processing (NLP), and big data analytics to uncover patterns in large-scale, unstructured data, primarily text, but also images, and videos.

My path in marketing extends beyond academia. Before entering the Ph.D. program, I spent several years in the advertising industry, where I founded and managed a consulting and marketing agency. This experience shaped my perspective on data-driven decision-making and consumer insight, which now informs both my research and teaching.

Teaching has always been one of my passions. My years of teaching experience come from both academic and professional settings, covering a variety of topics and student groups. Over time, my interests evolved more specifically toward marketing and business education. This journey has shaped how I connect theory with practice and how I help students navigate fast-changing digital environments. Over the past two years, I have also focused on how AI is transforming business education. I see this shift not only as an opportunity for innovation in the classroom but also as a growing area of research, exploring how students engage with AI tools and what that means for the future of learning in marketing and related fields.

Outside of academia, I work out, practice yoga, and refine the art of espresso making. Whether in research, teaching, or everyday life, I constantly seek ways to analyze, optimize, and improve.

Let’s connect, I’m always open to discussions on marketing analytics, digital strategy, AI in education, and consumer insights.