Scholar
Drago Plecko
Google Scholar ID: lR7pgGsAAAAJ
Assistant Professor of Statistics & Data Science, UCLA
Causal Inference
Trustworthy Data Science
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Citations & Impact
All-time
Citations
377
H-index
9
i10-index
9
Publications
20
Co-authors
7
list available
Contact
CV
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GitHub
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications (specific list not provided)
- Causal Fairness Analysis Software
- LLM Observatory project, investigating capabilities of LLMs
Research Experience
- Assistant Professor at the Department of Statistics & Data Science, UCLA
- Postdoc at Columbia University (CS)
Education
- PhD: ETH Zürich, Statistics
- Undergraduate: University of Cambridge, Mathematics
- Postdoc: Columbia University, Computer Science
Background
- Developing methods for causal inference, focusing on both statistical and computational aspects
- Trustworthy data science, including fair machine learning, explainability, and algorithmic recourse
- Applied interests in medical data, particularly in epidemiological questions of causation and the use of AI tools in intensive care medicine
Co-authors
7 total
Elias Bareinboim
Columbia University
Nicolai Meinshausen
Professor of Statistics, ETH Zurich
Peter Bühlmann
Professor of Statistics and Mathematics, ETH Zurich
Co-author 4
Co-author 5
Co-author 6
Leo Anthony Celi
Massachusetts Institute of Technology
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