Profil
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I am a professor in the field of Information and Data Science, with experience across academia and industry. My work centers on applied machine learning, natural language processing, and algorithmic decision-making, with an emphasis on building, deploying, and maintaining automated systems in real-world settings.
I take a practice-oriented approach that treats machine learning systems as embedded within social and institutional contexts. My work examines how decisions made across the model lifecycle—from data to deployment and ongoing use—interact with organizational practices, human judgment, and downstream impacts.
I emphasize translating data science and AI concepts into clear, accessible frameworks that support effective and responsible use by students, practitioners, and end users.
