Research Projects in Scientific Computation, Machine Learning, Data Sciences



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Project Description

Research projects at the interface of scientific computation, machine learning, and the data sciences.  Development of methods, models, and computational simulations of problems arising in fluid mechanics, soft materials, and biophysics. See the research website for more details at

Undergraduate Contribution

Work on analysis, modeling, computational methods, or simulation work in collaboration with research members. Development of models, implementation of numerical methods, and performance of studies. Presentation of results in workshops and group meetings.

Requirements/Application Instructions

Some experience with programming would be helpful, but not strictly required. Overall, a strong motivation and enthusiasm for research on theoretical and computational approaches to tackle problems arising in the sciences and engineering.