Students interested in pursuing a Ph.D. in applied mathematics should apply directly through the Mathematics Department Ph.D program. The Applied Math Group at the University of Utah is supported by an NSF-RTG Training Grant https://www.math.utah.edu/amrtg/. Interested students are welcome to contact me directly about potential research projects.
Undergraduate students interested in an REU should contact me directly and apply through the Mathematics Department REU program or other sponsored office on campus (UROP).
Ph.D. students
- Filip Belik (2022-present): branched arterial model of blood pressure in an elastic tube (co-advised with Akil Narayan)
- Nathan Willis (2017-2022, postdoc at UC Merced): ice fishing and viscous steady streaming flow
- Chee Han Tan (2016-2021, postdoc at Wake Forest): fluid sloshing with surface tension and ice fishing (co-advised with Braxton Osting)
- Steve Cook (2014-2017): fluid coupling in molecular motor assays (advisor Tamar Shinar)
REUs
- Kaylee Pho (2024): ACCESS, neural language network for sorting abstracts
- Emma Coates (2019-2020): ACCESS and REU, optimal container shapes for fluid sloshing
- Thomas Radman (2019): MATH 5960, neural network for fluid problems
- Adam R. Lee (2017): REU, 3d simulation of viscoelastic fluids with thermal fluctuations
- Max Carlson (2016-2017): REU, numerical simulation of fluid sloshing with surface tensions
- D. Michael Senter (2013-2015): REU, mean first passage time and numerical simulation of complex fluids
- Maria David (2014): ACCESS, Brownian motion
- Ryan Durr (2013-2014): REU, mean first passage time in complex fluids