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   Kevin R. Moon 
     Postdoctoral Associate
     Genetics and Applied Math Departments
     Yale University
     Email: kevin.moon "at" yale.edu
     Office: 307 SHM and 104 AKW

     Curriculum Vitae: PDF (July 2016)



About Me

I am a postdoctoral associate at Yale University under Dr. Smita Krishnaswamy in the Genetics and Computer Science departments and Dr. Ronald Coifman in the Mathematics and Computer Science departments. I completed my PhD in Electrical Engineering and Computer Science (EECS) under Dr. Alfred Hero at the University of Michigan in Ann Arbor in 2016. I completed an MS (2016) in Mathematics at Michigan and an MS (2012) and BS (2011) in electrical engineering from Brigham Young University in Provo, Utah. During my undergraduate studies, I spent two years as a missionary in Puebla, Mexico and studied abroad in China for six weeks.

Research

My general research interests are in statistical signal processing, machine learning, statistical learning theory, information theory, estimation, graphical models, random matrix theory, optimization, and manifold learning. 

I have two major research focuses: developing new theory and methods and applying the theory to real data. A major component of my theoretical work focuses on developing and analyzing efficient nonparametric estimators of information theoretic measures such as entropy, mutual information, and  information divergence. The applications of this work include estimating the Bayes error of classification problems and extending machine learning techniques to distributional features. Specific applications I am involved in include sunspot and active region images, neural data, and single cell data.

Another method I am developing is called PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding). PHATE is an unsupervised dimensionality reduction method that preserves progression structure within high-dimensional data for data visualization (e.g. single cell data). 

Selected Publications

  1. K.R. Moon, D. van Dijk, Z. Wang, W. Chen, M.J. Hirn, R.R. Coifman, N.B. Ivanova, G. Wolf, S. Krishnaswamy, "PHATE: A Dimensionality Reduction Method for Visualizing Trajectory Structures in High-Dimensional Biological Data," 2017. (bioRxivcode)
  2. K.R. Moon, M. Noshad, S. Yasaei Sekeh, A. O. Hero III, "Information theoretic structure learning with confidence," To appear in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar. 2017. (Invited Paper), (arXiv)
  3. K.R Moon, K. Sricharan, K. Greenewald, A.O. Hero III, "Improving convergence of divergence functional ensemble estimators," IEEE International Symposium on Information Theory (ISIT), pp. 1133-1137, July 2016. (Link, long version at arXiv)
  4. K.R. Moon, V. Delouille, J.J. Li, R. De Visscher, F. Watson, and A.O. Hero III, "Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization," Topical Issue on Statistical Challenges in Solar Information Processing, Journal of Space Weather and Space Climate, vol. 6, A3, Jan. 2016. (Linkarxiv)
  5. K.R. Moon, J.J. Li, V. Delouille, R. De Visscher, F. Watson, and A.O. Hero III, "Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis," Topical Issue on Statistical Challenges in Solar Information Processing, Journal of Space Weather and Space Climate, vol. 6, A2, Jan. 2016. (Linkarxiv)
A full list is found here or Google Scholar.

Awards and Honors

  • 2nd Place in Signal and Image Processing poster competition at 2015 Engineering Graduate Symposium at the University of Michigan
  • 3rd Place Best Student Paper Award at SPW 2015
  • Top 10% Paper Award at ICIP 2014
  • NSF Graduate Research Fellowship, 2012-2016
  • NSF Graduate Research Fellowship Honorable Mention, 2011
  • NASA Rocky Mountain Space Grant, 2011
  • Distinguished Student Award from BYU Math Department, 2011
  • Gordon B. Hinckley Presidential Scholar at BYU, 2005-2011
  • National Merit Scholar, 2005