Work on the Team

What Do We Do?

We study spatially-dependent data, non-normal responses, and signal processing—usually using Bayesian methods. Past projects include examining links between pollution and infant health, analyzing how foreign aid is allocated, evaluating model performance, and detecting human-driven temperature changes. Student work ranges from exploratory analysis and visualization to developing new models and running simulations.

What Are the Requirements?

You should be curious, motivated, and willing to search for answers. Coursework in calculus (Math 113), probability (Stat 240), regression (Stat 330), and computing (Stat 250) is helpful, though sometimes flexible. It is expected that students will have worked as a TA in the department. RA's should plan to spend 10+ hours per week on research.

What Will You Get Out of It?

• Stronger skills in statistics and computing (GLMs, spatial models, R, Unix, etc.)
• Experience tackling complex, real-world problems
• A supportive research community of students and faculty
• Valuable preparation for jobs or graduate school

How Do You Get Started?

Watch for research position announcements in the department’s weekly student email. If you’re not on the list, email career.placement@stat.byu.edu to be added.