Christiane Adcock

  • Program Year: 2
  • Academic Institution: Stanford University
  • Field of Study: Computational and Mathematical Engineering
  • Academic Advisor: Gianluca Iaccarino
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    B.S. Mechanical Engineering, Massachusetts Institute of Technology, 2018


Adcock C., Iaccarino G., Jofre L, Papadakis M., Torres H., Multilevel Monte Carlo Sampling on Heterogeneous Computer Architectures, SIAM UQ, 2020, accepted.
Annoni J., Fleming P., Scholbrock A., Roadman J., Dana S., Adcock C., Raach S., Haizmann F., Schlipf D., Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results, Wind Energ. Sci., 2018.
Adcock C., King R., Data-Driven Wind Farm Optimization Incorporating Effects of Turbulence Intensity. American Control Conference, 2018.
King R.N., Adcock C., Annoni J., Dykes K., Data-Driven Machine Learning for Wind Plant Flow Modeling, TORQUE 2018.
King R.N., Quick J., Adcock C., Dykes K., Active Subspaces for Wind Plant Surrogate Modeling, AIAA Science and Technology Forum and Exposition, 2018.
Adcock, C., Evaluating Trends in Light-Duty Vehicle Technologies to Project Fuel Economy, MIT Undergraduate Thesis, 2018.
Adcock C., King R., Data-Driven Wind Plant Flow Modeling for Atmospheric Stability, Rocky Mountain Fluid Mechanics Symposium, 2017.


Stanford Knight-Hennessy Scholar, 2018
NSF Graduate Research Fellowship, 2018 (declined)
Tau Beta Pi (Engineering Honor Society), 2017-present
Pi Tau Sigma (Mechanical Engineering Honor Society), 2016-present