What participants have to say about CAMCOS
Here's what students have to say about their
experiences with Math 203/CAMCOS:
- "It is very hard to find a job these days and many companies want
employees who have more experience. Without CAMCOS, I don't think I
would have even had an opportunity to get interviews."
--- Yukie Carroll, SJSU '02, now employed at SightSpeed in Berkeley
- "Having a big marquee name like NASA on my resume didn't hurt."
--- Bryan Countermine, SJSU MS '04, now employed at Coherent in Santa
- "During the interview, the focal point of my resume was my experience
with Math 203. This real life experience is what gave me the edge."
--- Felipe Ibarra, SJSU '03, now employed at Hewitt Associates in
- "CAMCOS provided great experience in collaborating with other
students, professors, and individuals involved in research outside
academia. We got to have a great degree of freedom in deciding how to
approach the problem, and in picking an area of concentration."
--- Dave Barnes, SJSU MS '03, team leader for Optimal analysis of
astronomical data, Spring 2002
- "Math 203 was a great way to apply textbook knowledge to real-life
data. I learned how to apply multi-variable methods that I learned in
statistics to estimating atmospheric pressures. After taking this
class, I have developed a greater interest in statistics and data
analysis because this class has taught me how it is used in a variety
of different fields in the real world."
--- Eleanore Jehung, SJSU BS in Mathematics, team member for
Statistical analysis of a nonlinear chemical equation using
numerical methods, Spring 2002
People from industry and government
People from industry and government who have worked with CAMCOS say:
- "For a number of years I have been developing new analysis methods for
astronomical time series and other kinds of data. I proposed that the
CAMCOS group work on improving my approximate algorithm, called
'Bayesian blocks,' that is being used more and more by the
astronomical community, and which forms the basis of most of my
current astrophysical research.
"The CAMCOS group very quickly achieved what I had considered an
impossible ideal goal -- an exact, global solution of the underlying
combinatorial optimization problem. In addition, the new algorithm is
eminently practical, and in a way goes beyond the original
problem... [making] it directly useful to real-time applications,
where one needs results as the data stream unfolds....
"It is hard to imagine how the project could have been more successful.
The algorithm developed by the CAMCOS group is now the basis of all my
time series data analyis and is also the focus of my efforts to extend
the basic approach to other contexts, such as higher dimensional data
--- Jeff Scargle, Research Astrophysicist, NASA
Ames Research Center, liaison for Optimal
analysis of astronomical data, 2002-2003
- "The Intelligent Data Understanding group at
NASA Ames Research Center collaborated with Leslie
Foster and his students under CAMCOS. The team
worked on the problem of making predictive models
that can process an extremely large amount of
data. The results of the collaboration were very
impressive: the team showed the ability to
increase the amount of data used to train the
predictive models by three orders of magnitude.
The results were published in the Journal of
Machine Learning Research, one of the most
prominent journals in the field, and are used by
--- Ashok N. Srivastava, Project Manager,
System-Wide Safety and Assurance Technologies
Project at NASA, liaison for Improved
linear algebra methods for redshift computation
from limited spectrum data, 2006-2007
Also see our list of publications
resulting from recent CAMCOS projects.
Disclaimer: The above quotes only represent the
opinions of the individuals named there. They do not represent
opinions or endorsements of the organizations with which the
individuals are associated. (Organizations are listed only for the
purpose of identification.)