ACMI Lab | Michael Feffer
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Michael Feffer, PhD Student

I am a first-year Societal Computing PhD student in the Institute for Software Research (ISR) at Carnegie Mellon University. I am broadly interested in applying artificial intelligence and machine learning techniques to problem spaces in the humanities and social sciences. My current interests include algorithmic fairness, mental health, sustainability, and art generation and synthesis. Prior to coming to CMU, I graduated with a Master of Engineering (MEng) degree from MIT for work I did in the MIT Media Lab's Affective Computing Group with Prof. Rosalind Picard and Dr. Ognjen Rudovic, and I additionally conducted undergraduate research with Prof. Randall Davis in the Computer Science and Artificial Intelligence Laboratory (CSAIL). I also worked as a software engineer at Mastercard Data & Services for 2.5 years after graduating from MIT.

Research Interests: Fairness in Machine Learning, AI for Social Good, Music Information Retrieval, Data-Driven Humanities