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Drago Plecko

Columbia University

causal inference

fair machine learning

trustworthy artificial intelligence

1

presentations

11

number of views

SHORT BIO

Drago is a postdoctoral research scholar in the Computer Science Department at Columbia University, working with Elias Bareinboim. Before joining Columbia, he completed his PhD in the Seminar for Statistics at ETH Zürich under Nicolai Meinshausen's supervision. His research interests include applying causal inference for trustworthy data science, covering statistical and computational aspects. He has experience in fair machine learning, explainability, and more recently, algorithmic recourse. Drago is also keen on practical applications, especially in medicine, and has worked on epidemiological questions of causation in ICU research, including AI applications in ICU research.

Presentations

Reconciling Predictive and Statistical Parity: A Causal Approach | VIDEO

Drago Plecko and 1 other author

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