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
ביה"ס למתמטיקה
סגל אקדמי בכיר
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
