Interested in graduate study? I am always interested
in enthusiastic students who wish to pursue a
PhD in my research areas of interest, particularly
students with a sound mathematical background
who are interested in a mix of theory and application
in the general area of machine learning.
Most of our projects involve modeling of real-world
data sets involving text, time series, images, multivariate data
from areas as diverse as text mining, Web data analysis,
medical image analysis, bioinformatics, atmospheric
science, remote sensing, and cognitive science.
In addition, on the more theoretical side,
we like to explore fundamental aspects of learning from
data including mathematical and probabilistic analysis of learning
algorithms and development of efficient algorithms especially for
large data sets.
PhD students in my group tend to come from a diverse range
of backgrounds. Students in my group in the past have had undergraduate degrees
in mathematics, computer science,
electrical engineering, physics, and economics.
A computer science undergraduate degree is not a strict
requirement to join my group or to get a PhD in the
department (some extra coursework may be involved
for students who are missing some of the required
background). I have joint faculty appointments in the departments of
Statistics and in Biomedical Engineering, so I can also
act as PhD advisor for graduate students in those departments.
Here's how I
suggest
you can explore whether doing a PhD with my group would
be a good match with your interests.
If you have specific questions about doing a Phd
in my research group, you can email me, but I should advise you that
I regularly get quite a large number of email inquiries about joining my group and its
impossible for me to reply to everyone's email!
Last modified: July 2011