David Titley-Peloquin is interested in the use of numerical methods for scientific computing. He is also studies uncertainty quantification – understanding how uncertainties in the data (such as measurement errors or parameter uncertainty) affect these methods. David is also interested in the use of active learning strategies for the mathematics and science classroom and laboratory.
