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Nathan Kallus

Associate Professor, Cornell Tech, Cornell University; Research Director, Machine Learning & Inference, Netflix

Nathan Kallus is an Associate Professor at Cornell University, specializing in the School of Operations Research and Information Engineering and Cornell Tech.12 He holds a PhD in Operations Research from MIT, as well as a BA in Mathematics and a BS in Computer Science from UC Berkeley.12

Kallus's research interests include:

  • Personalization
  • Optimization, especially under uncertainty
  • Causal inference
  • Sequential decision making
  • Credible and robust inference
  • Algorithmic fairness12

In addition to his academic role, Kallus serves as the Research Director of Machine Learning & Inference Research at Netflix since September 2022.4 Prior to this, he held positions as a Senior Research Scientist at Netflix and a Machine Learning Consultant at Cuebiq.4

Before joining Cornell in July 2016, Kallus was a Visiting Scholar at USC's Department of Data Sciences and Operations and a Postdoctoral Associate at MIT's Operations Research and Statistics group.24 His professional experience also includes roles at Microsoft, Goldman Sachs, and various research positions at institutions like the Mathematical Sciences Research Institute and Lawrence Berkeley National Laboratory.4

Kallus is actively involved in supervising PhD students and has advised several who have gone on to academic and industry positions.3 He is known for his contributions to applied causal inference, optimization, and machine learning in decision-making contexts.3

Highlights

Nathan Kallus | Department of Statistics and Data Science
Jan 1 · openreview.net
Nathan Kallus | OpenReview
Oct 15 · orfe.princeton.edu
Nathan Kallus, Cornell University
Jan 1 · nathankallus.com
Nathan Kallus
Jan 1 · orie.cornell.edu
Nathan Kallus - Operations Research and Information Engineering
Nathan Kallus - Simons Institute

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Nathan Kallus
Nathan Kallus, photo 1
Nathan Kallus, photo 2
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Location

New York, New York, United States