Address: Department of Statistics Iowa State University 2218 Snedecor Hall Ames, IA 50011 Phone: +1 (515) 294-2182 Email: [email protected] Website: http://raywong.public.iastate.edu Raymond Ka Wai Wong Curriculum Vitae Education 2010–2014 Doctor of Philosophy Major in Statistics • Supervised by Professor Thomas C.M. Lee • Thesis: On some Complex and Massive Data Problems 2008–2010 Master of Philosophy Chinese University of Hong Kong Major in Statistics • Supervised by Professor Xiaodan Fan and Professor Thomas C.M. Lee • Thesis: Robust Estimation for Generalized Additive Models 2004–2008 Bachelor of Science Chinese University of Hong Kong Major in Statistics with minor in Mathematics and Risk Managment Science • Graduated with First Honor University of California at Davis Academic Position 2014–now Assistant Professor Department of Statistics, Iowa State University Iowa, U.S.A. Honors and Awards 2014 Best Student Paper Award Awarded to a winner of the student paper competition 2014 Los Alamos Statistical Sciences Conference Grant Los Alamos National Laboratory Awarded with a grant to support participation in the Conference on Data Analysis 2014 poster session 2011 Student Paper Award Section on Nonparametric Statistics, American Statistical Association Awarded to a winner of the student paper competition 2011 Julius Blum Award Department of Statistics, University of California at Davis Awarded annually since 1983 to an outstanding Statistics graduate student 2005–2008 Deans Honor List For three consecutive academic years 2003 Excellent Performance Award Department of Mathematics, Chinese University of Hong Kong Presented by Enrichment Programme for Young Mathematics Talents, which provides training on advanced mathematics for high school students International Indian Statistical Association Faculty of Science, Chinese University of Hong Kong Publications Preprints 1. R. K. W. Wong, T. C. M. Lee, D. Paul, and J. Peng. “Fiber Direction Estimation in Diﬀusion MRI”. Submitted. 2014. http://arxiv.org/abs/1406.0581. 1 Curriculum Vitae: Raymond Ka Wai Wong 2 2. R. K. Wong, C. B. Storlie, and T. Lee. “A Frequentist Approach to Computer Model Calibration”. Submitted. 2014. http://arxiv.org/abs/1411.4723. Articles 1. S. Han, R. K. W. Wong, T. C. M. Lee, L. Shen, S.-Y. R. Li, and X. Fan. A Full Bayesian Approach for Boolean Genetic Network Inference. PLoS One 9(12) (2014), e115806. 2. R. K. W. Wong, P. Baines, A. Aue, T. C. M. Lee, and V. L. Kashyap. Automatic estimation of flux distributions of astrophysical source populations. The Annals of Applied Statistics 8(3) (2014), 1690–1712. 3. R. K. W. Wong, F. Yao, and T. C. M. Lee. Robust estimation for generalized additive models. Journal of Computational and Graphical Statistics 23(1) (2014), 270–289. 4. R. C. S. Lai, T. C. M. Lee, R. K. W. Wong, and F. Yao. Nonparametric cepstrum estimation via optimal risk smoothing. IEEE Transactions on Signal Processing 58(3) (2010), 1507–1514. 5. R. K. W. Wong, R. C. S. Lai, and T. C. M. Lee. Structural break estimation of noisy sinusoidal signals. Signal Processing 90(1) (2010), 303–312. Presentations Jul14 Fiber Direction Estimation in Diﬀusion MRI International Indian Statistical Association Conference • As a finalist of the student paper competition to give a talk • Awarded with Best Student Paper Award Mar14 Global Optimization of High Dimensional Expensive Black-box Systems Conference on Data Analysis • Winner of Los Alamos Statistical Sciences Conference Grant Fiber Direction Estimation in Diﬀusion MRI Department of Statistics, Iowa State University Feb14 Talk Poster Talk Jul13 Global Optimization of High Dimensional Expensive Black-box Systems Talk Process Optimization and Uncertainty Quantification Team, Carbon Capture Simulation Initiative, National Energy Technology Laboratory May13 Joint Spectral-Temporal Analysis of High-Energy Astronomical Sources High-Energy Astrophysics Division, Harvard-Smithsonian Center for Astrophysics Talk Aug12 Joint Spectral-Temporal Analysis of High-Energy Astronomical Sources CHASC Workshop, Imperial College London Talk Aug11 Robust Estimation for Generalized Additive Models Joint Statistical Meetings • As a finalist of the student paper competition to give a talk • Awarded with the Student Paper Award Talk Research interests • • • • Nonparametric and semi-parametric modeling Regularization methods (e.g. ℓ1 , ℓ2 and nuclear-norm penalty) Statistical applications to astronomy, brain imaging, computer experiments and signal processing Statistical learning Computer skills OS Mac OS X, Windows, UNIX Software SAS, SPSS, Minitab Research Matlab, R Programming C/C++, Python Typography LATEX, Microsoft Oﬃce