My research has three threads: (1) applying machine learning and causal inference to healthcare, building decision-support tools from large-scale health data; (2) developing methods and theory at the ML–causal inference interface, with an emphasis on individual-level (heterogeneous) effects and policy learning; and (3) bringing causal ideas into core machine learning, including robust learning, domain adaptation, and human–AI cooperation.
Prof. Uri Shalit
School of Mathematical Sciences
- Email: urishalit@tauex.tau.ac.il
- My CRIS profile: My CRIS profile
Research
Education
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B.Sc. in Mathematics with a minor in History, Hebrew University of Jerusalem, 2006
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Ph.D. in Neural Computation, Hebrew University of Jerusalem, 2014
Academic Appointments
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Senior Lecturer (Assistant Professor), Faculty of Data and Decision Sciences, Technion, 2017
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Associate Professor, Faculty of Data and Decision Sciences, Technion, 2024
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Associate Professor, Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, 2024
Awards and Prizes
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Schmidt Career Advancement Chair in Artificial Intelligence, 2023 – 2024
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The Google Europe Fellowship in Machine Learning, 2011 - 2014
