Roni Rosenfeld    my-email-address-distorted

Professor and Head, Machine Learning Department
School of Computer Science
Carnegie Mellon University

Professor by courtesy, Heinz College
Adjunct Professor, University of Pittsburgh School of Medicine

Office: Gates-Hillman Complex 8002   Phone +1-412-268-7678  Fax +1-412-365-5687
Assistant: Christina Melucci, GHC 8004, +1-412-268-1593

Shipping Address

Short Bio  Short CV  Long CV

Welcome!  My interests are in:


Ø  Epi-Forecasting challenges: We have participated, and done very well, in all epidemiological forecasting challenges organized by the U.S. government to date: Influenza 2013—2014 (CDC); Chikungunya 2015 (DARPA); Dengue 2009—2014 (White House OSTP); Influenza 2014—2015 (CDC, winner); Influenza 2015—2016 (CDC, winner);  Influenza 2016—2017 (CDC, winner).

Ø  Try our operational, geographically detailed, real time flu nowcasting service.

Ø  Volunteer to contribute to our “wisdom-of-crowds” epidemic forecasting (requires ~15 minutes each week).

Ø  Try our operational, weekly updated flu forecasting. This site is down while we are reconfiguring our system to forecast COVID-19.

Ø  We are part of the multi-university MIDAS research group.

Ø  December 2016: CDC has just named us “Most Accurate Forecaster” for 2015-2016 (summary results).

Ø  October 2017: We did it again!  Our two systems took the top two spots out of 28 submissions in the 2016-2017 flu challenge (summary results).

Ø  October 2018: and yet again!  Our forecasting systems took #1 in each of the three separate flu forecasting challenges of 2017-2018 (out of up to 30 submissions) (summary results).

Ø  December 2019: CDC just named us “National Center of Excellence for Influenza Forecasting”.


Ø  Our current project, Polly, uses telephone-based viral entertainment to reach low-literate people in Pakistan and India, familiarizing them with speech interfaces and then introducing them to development-related services.  First deployed in Lahore in May 2012, Polly reached over 165,000 users all over Pakistan and fielded over 2.5 million phone calls in 8 months.  In 2013 we launched Polly in Bangalore, India, and it ended up spreading virally to West Bengal, New Delhi and other areas of India.  In March 2015 we deployed Polly in Guinea, for person-to-person spreading of approved Public Health messages about Ebola in many languages, in collaboration with the US embassy in Conakry.  In 2016, in collaboration with Information Technology University (Lahore) we launched two new services in Pakistan: Baang, a voice-based Reddit, and Sawaal, a voice-based quiz game.

Ø  A previous project, HealthLine, investigated the use of a telephone-based automated dialog system for access to healthcare information by low-literate community health workers in Pakistan.

Publications (updated sporadically)

Teaching: 10-601 Machine Learning,  11-761/11-661 Language and Statistics.

Current Postdocs and Students (department, topic):  Logan Brooks (MLD, postdoc, Epi-forecasting), Ananya Joshi (CSD, Epi-forcasting), Aaron Rumack (MLD, Epi-forecasting), Jingjing Tang (CompBio, Epi-forecasting).

Graduated PhD Students (department, topic): Logan Brooks (CSD, MLD Epi-forecasting),   David Farrow (CompBio, viral evolution + Epi-forecasting),   Ali Raza (LTI, ICT4D),   Chuang Wu (CompBio, viral genotype-phenotype mapping),   Jahanzeb Sherwani (CSD, ICT4D),   Yong Lu (CSD, CompBio),   Dan Bohus (CSD, dialog systems),   Stefanie Tomko (LTI, speech communication),   Jerry (Xiaojin) Zhu (LTI, MLD, semi-supervised learning),   Lin Chase (RI, speech recognition).

Past Post-docs:  Andy Walsh (computational virology),   Xiaojin Wang (machine learning),   Stan F. Chen (language modeling),   Pierre DuPont (language modeling).


My favorite quotes.

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