Work on the Team
What do we do?
My projects focus on spatially-dependent analyses, non-normal data, and/or signal processing, most often using a Bayesian paradigm, for a variety of applications. Questions we've looked at include: How are pollutants related to infant bronchiolitis hospitalizations? Is foreign aid being allocated in a way that meets the needs of the country? Is the fancy model I'm fitting doing what I think it should be doing? Are temperatures changing in a way that's related to human activity? Student projects range from exploratory work (making plots, fitting and summarizing basic models) to novel statistical methodological work (proposing and fitting a new model, conducting simulation studies).
What are the requirements?
Successful students are curious and willing to work and search out answers to their questions. Some calculus (Math 113), probability (Stat 240), linear regression (Stat 330), and computing (Stat 123/223 or 250) will be required, although if the right project is available, sometimes these can be waived. It is expected that students will have worked as a TA for the Department of Statistics at least one semester before doing research. Students will need to work approximately 10 (or more) hours each week to be involved.
What will you get out of it?
Some possible outcomes include:
- Increased statistics and computing knowledge (dependent data, non-normal data, GLM's, spatial dependence, unix, R, and more)
- Larger network (valuable for many reasons, including job/grad school applications)
- Building relationships with a team of professors and students
- Experience working on larger and not straightforward problems
How do you get started?
Keep an eye out for position advertisements through the department's weekly student email. If you are not currently receiving these emails, reach out to