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An automated health care system that understands when to step in
SES student Hussein Mozannar, working with SDSC affiliate David Sontag, has developed a machine learning system that looks at chest X-rays to diagnose pneumonia — but also knows when to defer to a radiologist.
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A fast track for machine learning
IDSS affiliate and EECS professor Tamara Broderick studies how machine-learning systems can be made to quantify the “known unknowns” in their predictions using Bayesian inference.
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Causal impact of masks, policies, and behavior on the early spread of Covid-19
A study led by IDSS and Economics professor Victor Chernozhukov suggests that nationally mandating face masks could have reduced pandemic deaths in the US.
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Learners today, leaders tomorrow
“I’m now responsible for data science tasks linked to the corona crisis.” Credential holders of the MITx MicroMasters Program in Statistics and Data Science leverage MIT-caliber education to move their industries to the cutting edge.
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Yury Polyanskiy wins the 2020 James L. Massey Award
IDSS and LIDS professor Yury Polyanskiy received the IEEE Information Theory Society’s 2020 James L. Massey Award, recognizing his outstanding achievement in research and teaching.







