Faculty Directory
Stefan M. Wild

Adjunct Faculty

Contact

2145 Sheridan Road
Tech
Evanston, IL 60208-3109

Email Stefan Wild

Website

Stefan M. Wild

Departments

Industrial Engineering and Management Sciences

Education

Ph.D., Operations Research, Cornell University, Ithaca, NY, 1/2009

M.S., Operations Research, Cornell University, Ithaca, NY, 1/2007

M.S., Applied Mathematics, University of Colorado, Boulder, CO, 5/2003

B.S., Applied Mathematics, University of Colorado, Boulder, CO, 5/2002 (with distinction)



Significant Recognition

  • U.S. Department of Energy Early Career Research Award, 2020
  • STS Forum Future Leader, 2018
  • IDC HPC Innovation Excellence Award, 2015
  • SIAM SIGEST Award, 2014
  • Strategic Laboratory Leadership Program (UChicago Booth School), 2013
  • U.S. Department of Energy Computational Science Graduate Fellowship, 2005–2008

Selected Publications

Padidar, M., Larson, J. & Wild, S. M. “Modeling Approaches for Addressing Simple Unrelaxable Constraints with Unconstrained Optimization Methods”. Optimization Letters. To appear (2022).

Cirigliano, V., Davoudi, Z., Engel, J., Furnstahl, R. J., Hagen, G., Heinz, U., Hergert, H., Horoi, M., Johnson, C. W., Lovato, A., Mereghetti, E., Nazarewicz, W., Nicholson, A., Papenbrock, T., Pastore, S., Plumlee, M., Phillips, D. R., Shanahan, P. E., Stroberg, S. R., Viens, F., Walker-Loud, A., Wendt, K. A. & Wild, S. M. “Towards Precise and Accurate Calculations of Neutrinoless Double-Beta Decay”. Journal of Physics G: Nuclear and Particle Physics. To appear (2022).

Shaydulin, R. & Wild, S. M. “Importance of Kernel Bandwidth in Quantum Machine Learning”. Physical Review A 106, 042407 (2022).

Eldred, J. S., Larson, J., Padidar, M., Stern, E. & Wild, S. M. “Derivative-Free Optimization of a Rapid-Cycling Synchrotron”. Optimization and Engineering. To appear (2022).

Surer, O., Nunes, F. M., Plumlee, M. & Wild, S. M. “Uncertainty Quantification in Breakup Reactions”. Physical Review C 106, 024607 (2022).

Ciprijanovic, A., Kafkes, D., Snyder, G., S´anchez, F. J., Perdue, G. N., Pedro, K., Nord, B., Madireddy, S. & Wild, S. M. “DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification”. Machine Learning: Science and Technology 3, 035007 (2022).

Hudson, S., Larson, J., Navarro, J.-L. & Wild, S. M. “libEnsemble: A Library to Coordinate the Concurrent Evaluation of Dynamic Ensembles of Calculations”. IEEE Transactions Parallel and Distributed Systems 33, 977–988 (2022). S.M. Wild, 12/2022 2

Wycoff, N., Binois, M. & Wild, S. M. “Sequential Learning of Active Subspaces”. Journal of Computational and Graphical Statistics 30, 1224–1237 (2021).

Clark, A. E., Adams, H., Hernandez, R., Krylov, A. I., Niklasson, A. M. N., Sarupria, S., Wang, Y., Wild, S. M. & Yang, Q. “The Middle Science: Traversing Scale in Complex Many-Body Systems”. ACS Central Science 7, 1271–1287 (2021).

Phillips, D. R., Furnstahl, R. J., Heinz, U., Maiti, T., Nazarewicz, W., Nunes, F. M., Plumlee, M., Pratola, M. T., Pratt, S., Viens, F. G. & Wild, S. M. “Get on the BANDWagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics”. Journal of Physics G: Nuclear and Particle Physics 48, 072001 (2021).