Eaman Jahani Directory Page
Eaman Jahani
Assistant Professor
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Eaman Jahani, arriving in January 2024 as an assistant professor for the DOIT from the UC Berkeley Department of Statistics, describes his research interest as “understanding how social networks and online platforms affect a wide range of outcomes and how they can lead to unequal distribution of resources, using tools from network science and causal inference". He holds a PhD in Social and Engineering Systems with a secondary degree in Statistics from MIT.
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Smith School Hosts Workshop on AI and Analytics for Social Good
On May 10, 2024, the University of Maryland’s Smith School hosted the AI and Analytics for Social Good Workshop, featuring experts from…
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Smith School Hosts Workshop on AI and Analytics for Social Good
New Faculty Strengthen Smith’s ‘Grand Challenges’ Strategy
Balaji Padmanabhan is among the earliest professors to bring machine learning into an MBA program. Sining Song’s research explores…