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Joshua Loftus

Joshua Loftus

Joined Stern 2017

Leonard N. Stern School of Business




Joshua R. Loftus joined New York University Stern School of Business as an Assistant Professor of Information, Operations and Management Sciences in September 2017.

Professor Loftus studies statistical methodology for machine learning and data science pipelines with a focus on addressing sources and types of error that were previously overlooked. This includes developing methods for inference after model selection that account for selection bias and analyzing fairness of the impact of algorithms on people from a causal perspective. His work has been published in the Annals of Statistics.

Before joining NYU Stern, Professor Loftus was a Research Fellow at the Alan Turing Institute, affiliated with the University of Cambridge.

Professor Loftus earned a B.S. in Mathematics at Western Michigan University, an M.S. in Mathematics at Rutgers University and a Ph.D. in Statistics at Stanford University.

Research Interests

  • Statistical Methodology
  • Machine Learning
  • Data Science
  • Algorithmic Fairness

Academic Background

Ph.D., Statistics
Stanford University

M.S., Mathematics
Rutgers University

B.S., Mathematics
Western Michigan University

Areas of Expertise

Information, Operations & Management Sciences

  • Algorithmic Fairness
  • Data Science
  • Machine Learning
  • Statistics