Nathan Kallus
Netflix at 4 yrs 11 mos
📍 New York, New York, United States
Nathan is the Director of Machine Learning & Inference Research at Netflix and an Associate Professor at Cornell Tech. His expertise lies in causal inference, econometrics, and data-driven decision-making, particularly for personalization and optimization. He holds a PhD from the Massachusetts Institute of Technology.
He won the prestigious 2017 INFORMS Daniel H. Wagner Prize for his work on data-driven personalization in analytics.
Read the full overview →Experience
3 Years
Current Role
Netflix
Location
New York, New York, United States
Personality Overview
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Priorities
Topics Nathan cares about
Causal Inference
His primary area of research and expertise, focusing on using data to understand cause-and-effect for better decision-making in business.
Personalized Recommendations
Leads research at Netflix to improve personalization, programming, and advertising through advanced machine learning models.
Career
Work history
Netflix
4 yrs 11 mos
Cornell University
9 yrs 4 mos
4-2018 - 9-2020
Machine Learning Consultant
Cuebiq
7-2015 - 6-2016
Visiting Scholar, Data Science and Operations
University of Southern California
Massachusetts Institute of Technology (MIT)
5 yrs 6 mos
In the press
Media appearances
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Education
2011 - 2015
PhD
Massachusetts Institute of Technology
2006 - 2009
BS
University of California, Berkeley
Social presence
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