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Carnegie Mellon University, School of Computer Science, Delphi Group

Developing the Theory and Practice of Epidemiological Forecasting
Pittsburgh, PA, USA
25-49 Employees
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Developer in Residence - Machine Learning Department - School of Computer Science - CMU
Carnegie Mellon University, School of Computer Science, Delphi Group
Pittsburgh, PA (Hybrid/Remote)
Education
+ 3 more

Carnegie Mellon is hiring a Software Developer to support machine learning for epidemic forecasting, including for the COVID-19 pandemic!

Posted 2 days ago
Project Manager - Machine Learning Department - School of Computer Science - CMU
Carnegie Mellon University, School of Computer Science, Delphi Group
Pittsburgh, PA (Hybrid/Remote)
Education
+ 3 more

Carnegie Mellon is hiring a Project Manager to support machine learning for epidemic forecasting, including for the COVID-19 pandemic!

Posted 2 days ago
Open Rank Faculty Position - Department of Statistics and Data Science - CMU
Carnegie Mellon University, School of Computer Science, Delphi Group
Pittsburgh, PA (Remote/Hybrid)
Education
+ 3 more

Carnegie Mellon University's Delphi Group is hiring remote faculty of any rank and track to support national epidemic tracking and forecasting research!

Posted 2 weeks ago
Research Programmer/Analyst - Machine Learning Department - School of Computer Science - CMU
Carnegie Mellon University, School of Computer Science, Delphi Group
Pittsburgh, PA (Hybrid/Remote)
Education
+ 3 more

Carnegie Mellon is hiring a Research Programmer / Analyst to support data pipelines for epidemic forecasting, including for the COVID-19 pandemic!

Posted 3 weeks ago
Executive Director - Machine Learning Department - School of Computer Science - CMU
Carnegie Mellon University, School of Computer Science, Delphi Group
Pittsburgh, PA (Hybrid/Remote)
Education
+ 3 more

Carnegie Mellon is hiring an Executive Director to advance the theory and practice of of epidemic forecasting, from seasonal flu to COVID-19!

Posted 3 weeks ago
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Our Impact Areas

Global Peace & Safety
Education
Health & Well-Being
Partners & Advocates

About Us

MISSION
Develop the theory and practice of epidemiological forecasting, with a long-term vision of making this technology as universally accepted and useful as weather forecasting is today.

WHO ARE WE?
We’re a research group based out of Carnegie Mellon University dedicated to developing the theory and practice of epidemic tracking and forecasting. Pre-pandemic we worked mostly on influenza, dengue and norovirus; we’ve now picked up a focus on COVID. We procure unique data streams that reflect epidemic (or pandemic) activity, extract relevant indicators, and make these publicly and continuously available. We and others then use these indicators for nowcasting (situational awareness) and short-term forecasting.

WHO IS OUR AUDIENCE?
Public health authorities (federal, state, local), the healthcare industry, the public and private sectors, fellow researchers working on epidemic tracking and forecasting, data journalists, and the general public.

Our Tech Stack

Machine Learning
Data Science