Roni Rosenfeld, Professor   my-email-address-distorted

School of Computer Science (LTI, MLD, CSD, CBD

Carnegie Mellon University

I am currently directing the Undergraduate Minor in Machine Learning, and co-directing the Master of Science in Machine Learning program.

Office: Gates-Hillman Complex 8103.   Phone 412-268-7678   Fax 412-268-6298
Assistant: Christina Melucci, GHC 5721, 412-268-1593
Mailing address: Carnegie Mellon / Computer Science, 5000 Forbes Ave., Pgh PA 15213

Short CV      Long CV

Do you have a question about 10601A for Fall 2017?  Please read this before emailing me.

Welcome!  My research interests are in:


Ř  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); Influenza 2015—2016 (CDC);  Influenza 2016—2017 (CDC, ongoing).

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

Ř  Try our operational, weekly updated flu forecasting.

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

Ř  December 2016: CDC has just named us “Most Accurate Forecaster” for 2015-2016.


Ř  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.

Ř  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 Students (department, topic):  Logan Brooks (CSD, Epi-forecasting),   Lisheng Gao (MLD, Epi-forecasting),   Pu (Paul) Liang (CS, Epi-forecasting),   Zirui (Edward) Wang (CS, Epi-forecasting).

Graduated PhD Students (department, topic):  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).


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