Gates-Hillman Complex 8103. Phone 412-268-7678.
Secretary: Christina Melucci, GHC 5721, 412-268-1593.
Mailing address: Carnegie Mellon / Computer Science, 5000 Forbes Ave.,
Pgh PA 15213
Welcome! My research
interests are in:
- Forecasting Epidemics: The long term vision of our Delphi research group is to
make epidemiological forecasting as universally accepted and useful as
weather forecasting is today. As
was the case with weather forecasting, this will likely take a long
time. In the shorter term, we
select high value epidemiological forecasting targets (currently Influenza
and Dengue); create baseline forecasting methods for them; establish
metrics for measuring and tracking forecasting accuracy; estimate the
limits of forecastability for each target; and identify new sources of
data that could be helpful to the forecasting goal.
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
are part of the multi-university MIDAS
Ř December 2016 News Alert: CDC has just named us “Most
Accurate Forecaster” for 2015-2016.
- Information and Communication Technologies for
and specifically Spoken Language Technologies for Development (SLT4D), which
is the term we coined for our own subfield of ICT4D: finding ways to use
spoken language technologies (like automatic speech recognition, speech
synthesis, and human-machine dialog systems) to aid socio-economic
development around the world.
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.
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.
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).
David Farrow (CompBio, viral evolution +
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.