Office: Gates-Hillman Complex 8103.
Phone 412-268-7678. Fax 412-268-5576.
Secretary: Pat Loring, GHC
Mailing address: Carnegie Mellon / Computer Science, 5000 Forbes Ave.,
Pgh PA 15213
Hi! 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 several decades.
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. We are part of the multi-university MIDAS research group.
- Information and
Communication Technologies for Development (ICT4D),
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.
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. This system has been in use
since May 2012, reaching over 165,000 users and fielding over 2.5 million phone
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.
- How, and to what
extent, can the evolution of infectious diseases like Influenza be
- How, and to what
extent, is the evolution of viral disease like Influenza affected by
public health interventions such as vaccination, antiviral drug use,
school closures, travel restrictions, etc.
We model the spread of epidemics in the population as well
as the evolution of the virus itself, such as changes in its virulence, pathogenicity,
drug resistance, or antigenicity (immune escape).
Students: David Farrow (CompBio,
viral evolution), Ali Raza (LTI, ICT4D),
Logan Brooks (CSD, Epi
forecasting), Chuang Wu (Comp Bio,
viral genotype-phenotype mapping).
Past Post-docs: Andy
Walsh (computational virology), Xiaojin Wang (machine learning), Stan F. Chen (language
modeling), Pierre DuPont (language
My favorite quotes.