Machine learning, ubiquitous computing and

Machine learning, ubiquitous computing and appropriate technology are among my
primary academic interests. Currently I'm collaborating with other students in our group
on a project involving the design of a classification algorithm that can deduce meaning
from data sets of computer-transcribed conversations. My ubiquitous computing
experience includes creating applications for networked, location-aware handheld
computers based on the infrastructure of Project Oxygen at the Laboratory for Computer
Science. Within the appropriate technology domain, I am particularly interested in
developmental entrepreneurship and the application of innovative machine learning
techniques to rural medical diagnosis. My current research involves leading a portion of
Ca:sh, a village-health project within Media Lab Asia.