Michael A. Emory

Teaching assistant for Stanford's E103: Public Speaking course, addressing such topics as combating nervousness, how to organize speeches, audience analysis, effective visual aids, and delivering informative and passionate speeches.

Developing a new methodology to characterize model form uncertainty in Reynolds Averaged Navier Stokes (RANS) turbulence models.

Investigating various sources of uncertainty and their impact on simulations of super/hyper-sonic flows, most notably the HyShot II scramjet geometry.

Run and develop large scale physics simulation tools which run on Stanford owned and national laboratory super-computing clusters.

Implemented a turbulence model uncertainty quantification capability within Sandia's Aria code base.

Worked within the Fluid & Thermal mechanics teams, participating in their agile code development framework.

Investigated simulation sensitivity to different turbulence models and computational grids, evaluating the Mars Science Lander (MSL) geometry using the code DPLR.

Developed a parsing tool in Python to convert and verify chemical reaction input files required for reacting flow simulations.