Stefan Wild Mathematics and Computer Science Division Argonne National Laboratory 9700 S. Cass Avenue Bldg. 240, 1151 Argonne, IL 60439 (630) 252-9948 - phone (630) 252-5986 - fax wild (at) mcs.anl.gov - email

summer

winter

Now:
→	Assistant Computational Mathematician in the Laboratory for Advanced Numerical Simulations (LANS)
→	Fellow in the Computation Institute at the University of Chicago
→	I work in the area of numerical optimization and focus on problems involving complex computer simulations and physical experiments
Previously:
→	Director's Postdoctoral Fellow at Argonne, September 2008-2010
→	DOE Computational Science Graduate Fellow (CSGF)
→	Ph.D & MS, Operations Research, Cornell University, January 2009
→	MS & BS, Applied Mathematics, Univ. of Colorado, May 2003
Selected Preprints:
×	"An optimized chiral nucleon-nucleon interaction at next-to-next-to-leading order." With A. Ekström, G. Baardsen, C. Forssén, G. Hagen, M. Hjorth-Jensen, G. R. Jansen, R. Machleidt, W. Nazarewicz, T. Papenbrock, and J. Sarich. To appear in Physical Review Letters, 2013. [arXiv]
×	"Global Convergence of Radial Basis Function Trust-Region Algorithms for Derivative-Free Optimization." With Christine Shoemaker. To appear in SIAM Review, 2013. [More information]
×	"Variable Selection and Sensitivity Analysis via Dynamic Trees with an Application to Computer Code Performance Tuning." With Robert B. Gramacy and Matthew A. Taddy. To appear in The Annals of Applied Statistics, 2013. [More information]
×	"Non-intrusive Termination of Noisy Optimization." With Jeffrey Larson. To appear in Optimization Methods and Software, 2013. [More information]
¤	"Obtaining Quadratic Models of Noisy Functions." With Aswin Kannan. Submitted, September 2012. [More information]
¤	"Do You Trust Derivatives or Differences?" With Jorge Moré. Submitted, May 2012. [More information]
¤	"The TAO Linearly Constrained Augmented Lagrangian Method for PDE-Constrained Optimization." With E. Gawlik, T. Munson, and J. Sarich. Submitted, January 2012. [More information]
Selected Recent Publications:
×	"Estimating Derivatives of Noisy Simulations." With Jorge Moré. ACM Transactions on Mathematical Software, Vol. 38 (3), pp. 1-19, 2012. [More information]
×	"Benefits of Deeper Analysis in Simulation-based Groundwater Optimization Problems." With Aswin Kannan. Proceedings of the XIX International Conference on Computational Methods in Water Resources (CMWR 2012), June 2012. [More information]
×	"SPAPT: Search Problems in Automatic Performance Tuning." With Prasanna Balaprakash and Boyana Norris. ICCS 2012, Procedia Computer Science, Vol. 9, pp. 1959-1968, 2012. [More information]
×	"TAO 2.0 Users Manual." With T. Munson, J. Sarich, S. Benson, and L. Curfman McInnes. Argonne National Laboratory Technical Memorandum ANL/MCS-TM-322, 2012. [More information]
×	"Occupation Number-based Energy Functional for Nuclear Masses." With Michael Bertolli and Thomas Papenbrock. Physical Review C, Vol. 85 (1), pp. 014322, 2012. [More information]
×	"Estimating Computational Noise." With Jorge Moré. SIAM Journal on Scientific Computing, Vol. 33 (3), pp. 1292-1314, 2011. [More information]
×	"Can Search Algorithms Save Large-scale Automatic Performance Tuning?" With Prasanna Balaprakash and Paul Hovland. Proceedings of the International Conference on Computational Science, ICCS 2011, Procedia Computer Science, Vol. 4, pp. 2136-2145, 2011. [More information]
×	"Nuclear Energy Density Optimization." With M. Kortelainen, T. Lesinski, J. Moré, W. Nazarewicz, J. Sarich, N. Schunck, and M. Stoitsov. Appears in Physical Review C, Vol. 82, pp.024313, 2010. [More information]
×	"Benchmarking Derivative-Free Optimization Algorithms." With Jorge Moré. SIAM Journal on Optimization, Vol. 20 (1), pp.172-191, 2009. [More information]
×	"MNH: A Derivative-Free Optimization Algorithm Using Minimal Norm Hessians." Tenth Copper Mountain Conference on Iterative Methods, April 2008. [More information]
×	"ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions." With Rommel Regis and Christine Shoemaker. SIAM Scientific Computing, Vol. 30 (6), pp. 3197-3219, 2008. [More information]
More papers
Research Coverage:
¤	2012: Finding Functionals for Fission
¤	2011: Pounding Out Atomic Nuclei, Cranking up the Speed of DFT, The Unedf Project
¤	2010: Mysteries of the Nuclear Landscape
¤	2007: Green Silicon
Recent/Upcoming Talks and Posters:
×	[08/23/2012] Computational Noise in Simulation-based Optimization. 21st International Symposium on Mathematical Programming (ISMP 2012), Berlin, Germany.
×	[08/01/2012] Optimization Challenges in Cell Identification. CScADS Workshop on Scientific Data and Analytics for Extreme-scale Computing, Snowbird, UT.
×	[07/20/2012] An Experimental Study of Global and Local Search Algorithms in Empirical Performance Tuning. 10th International Meeting on High-Performance Computing for Computational Science (VECPAR 2012), Kobe, Japan.
×	[05/25/2012] Optimal Derivatives of Noisy Simulations. University of Calgary, Mathematics and Statistics Colloquium, Calgary, Canada.
×	[05/24/2012] Beyond the Blackbox: Optimization for Science and Engineering. Pacific Institute for the Mathematical Sciences Lunchbox Lecture, Calgary, Canada.
×	[03/26/2012] Optimal Finite Difference Derivatives of Noisy, Iterative Simulations. 12th Copper Mountain Conference on Iterative Methods, Copper Mountain, CO.
×	[02/27/2012] Opening the Blackbox in Simulation-based Optimization. Department of Applied Mathematics and Statistics Colloquium, University of California-Santa Cruz, Santa Cruz, CA.
×	[11/15/2011] "Quadratic Models of Quantifiably Noisy Functions." INFORMS Annual Meeting, Charlotte, NC.
×	[10/25/2011] "Opening the Blackbox in Simulation-Based Optimization." University of Colorado-Denver, Operations Research Seminar, Denver, CO.
¤	[10/18/2011] "Optimal Derivatives of Noisy Simulations." DOE Applied Mathematics Principal Investigators Meeting, Reston, VA.
More talks
Some Projects:
Derivative-free Optimization Computational Noise Toolkit for Advanced Optimization Benchmarking Algorithms → New algorithms and applications → Analysis and codes → Scalable algorithms for portable HPC optimization → Benchmarking Derivative-Free Optimization Algorithms SUPER NUCLEI OSCON ComPASS X-Tune
	¤ PhD students: Well-prepared students are always welcome as Givens Associates
	¤ Postdocs: ANL named 4th Best Place in the US to do a Postdoc

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