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Asuman Ozdaglar

Massachusetts Institute of Technology

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(617) 324-0058

asuman@mit.edu

title

MathWorks Professor

Head, MIT EECS

Deputy Dean of Academics, Schwarzman College of Computing

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Asuman Ozdaglar

Faculty Bio

Professor Ozdaglar’s research focuses on technical and societal aspects of large-scale data-driven systems. Her expertise includes optimization, machine learning, economics, and networks. In recent years, she has investigated issues of data ownership and markets, spread of misinformation on social media, economic and financial contagion, and social learning. In addition, she has an active research program on large-scale optimization, especially in the context of machine learning. Her recent work develops robust, efficient and decentralized machine learning models and algorithms. In optimization, her work has contributed to optimization duality, first-order scalable methods and new distributed algorithms for network resource allocation. Her work has also contributed to the study of adaptive game-theoretic dynamics and introduced alternative approaches to network games.

Courses

Strategy and Innovation
AI-FOCUSED

Making AI Work: Machine Intelligence for Business and Society

Artificial Intelligence

Organizations & Leadership

Strategy & Innovation

EARN 2.0 EEUs
Making AI Work: Machine Intelligence for Business and Society
Self-Paced Online

STARTING

Aug 12–Sep 29, 2026

LOCATION

Online

DURATION

6 weeks

COMMITMENT

6–8 hours/week

TUITION

$3,250

STARTING

Aug 12–Sep 29, 2026

LOCATION

Online

DURATION

6 weeks

COMMITMENT

6–8 hours/week

TUITION

$3,250

Nov 18, 2026–Feb 2, 2027

Online

6 weeks

6–8 hours/week

$3,250

STARTING

Nov 18, 2026–Feb 2, 2027

LOCATION

Online

DURATION

6 weeks

COMMITMENT

6–8 hours/week

TUITION

$3,250

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