Members
If you are interested in joining the ISSC, please visit this page.
Regular Members
Member  Institution  Research Areas 
Ethan Anderes  UC Davis 
Theoretical and applied methods for spatial statistics

James Annis  Fermilab  Bayesian inference, deep learning 
G. Jogesh Babu  Penn State University  Statistical methods and theory 
Jacek Becla  SLAC  Systems for managing extremescale data sets 
Federica Bianco  University of Delaware  Transients and variable stars 
Kirk Borne  Booz Allen  Large databases, data mining, knowledge discovery 
Robert Brunner  University of Illinois  Observational cosmology, transient and variable phenomena 
James Buchanan  Lawrence Livermore National Laboratory  Bayesian inference, weak lensing, galaxy detection and deblending 
Tamas Budavari  Johns Hopkins University 
Computational statistics, lowdimensional embeddings, scientific databases

Douglas Burke  Harvard CFA  Galaxy clusters, galaxy evolution, virtual observatory, semantic astronomy 
Nathaniel Butler  Arizona State University  Astrophysical transients 
Juan Cabral  CIFASIS, IATE, CONICET 
Classification Methods, machine learning, software engeenering

Guillermo Cabrera  Millenium Institute of Astrophysics  Machine learning, computer vision, datascience, astroinformatics 
YenChi Chen  University of Washington  Nonparametric statistics, cluster analysis, statistical learning theory, large scale structure 
David Chernoff  Cornell University  Cosmology, statistics and numerical methods for physics 
Aleksandra Ciprijanovic  Fermilab 
Deep learning, domain adaptation,
algorithm robustness and uncertainties

Jessica Cisewski Kehe  University of Wisconsin  Madison  Statistical methods, topological data, approximate Bayesian computation 
James Cordes  Cornell University  Radio astronomy, neutron stars, pulsars, signal processing techniques 
John Franklin Crenshaw  University of Washington  Deep learning, photometric redshifts 
Mariano Dominguez  IATE  Galactic and extragalactic astronomy 
George Djorgovski  Caltech 
Computational, dataintensive science, development of cyberinfrastructure

Marina Dunn  University of California, Riverside / Lawrence Livermore National Laboratory 
Machine Learning/Deep Learning, Bayesian methods, galaxy morphology 
Pedro Antonio Escarate Monetta  Universidad Técnica Federico Santa María  Electrooptics systems, spectroscopy, astronomical instrumentation 
Susana Eyheramendy  Pontifica Universidad Catolica de Chile  Methods for Big Data 
Eric Feigelson  Penn State University  Xray studies of star formation, crossdisciplinary astrostatistics 
Francisco Forster 
Center for Mathematical Modelling / Millennium Institute for Astrophysics, Chile

Time series classification 
Peter Freeman  Carnegie Mellon University  Implementation of statistical methods in astronomy 
Christopher Genovese  Carnegie Mellon University  Statistical methods and theory, nonparametric methods 
Aritra Ghosh  Yale University  Deep learning, uncertainty quantification 
Karl Glazebrook  Swinburne University of Technology  Observational cosmology, the formation and evolutionary history of galaxies 
Matthew Graham  Caltech  Data representation, visualization, storage, interpretation 
Alexander Gray  IBM  Scalable machine learning 
Carlo Graziani  University of Chicago  
Leanne Guy  AURA/LSST  Mining alert stream and catalogues 
Nina Hernitschek  Vanderbilt University  Large timedomain data sets, classifcation of variable sources 
Jon Hakkila  College of Charleston  Gamma ray bursts 
Timothy Holt  Southwest Research Institute  Solar system body analysis 
Jianhua Huang  Texas A&M  Gaussian process, functional data analysis, spatial temporal statistics, Bayesian statistics 
Zeljko Ivezic  University of Washington  Large survey astronomy 
Andrew Jaffe  Imperial College  Statistical cosmology, testing cosmological theories, Bayesian methods 
Elise Jennings  Argonne National Laboratory  Computational cosmology, large scale structure 
Andres Jordan  Pontifica Universidad Catolica de Chile  Exoplanets, earlytype galaxies 
Vinay Kashyap  Harvard CFA  
Kevin Knuth  University at Albany  Information physics, Bayesian data analysis, source separation 
Simon Krughoff  LSST/AURA  Astronomical survey planning, data reduction, simulation 
Hermine Landt  Durham University  Time series, Gaussian processes 
Francois Lanusse  University of California, Berkeley  Weak gravitational lensing, deep learning, sparsity based methods 
Marcelo Lares  IATE  Astrostatistics, data pipelines, visualization 
Ann Lee  Carnegie Mellon University  Statistical and machine learning methods, highdimensional data 
Chris Lintott  University of Oxford 
Machine learning, citizen science, serendipity

James Long  MD Anderson Cancer Center  Machine learning, signal frequency estimation, measurement error models, functional data analysis 
Thomas Loredo  Cornell University  Statistical methods, Bayesian analysis, high energy astrophysics 
Ashish Mahabal  Caltech  Astrophysical transients 
Alex Malz  New York University  Uncertainty quantification and propagation, experimental design and metrics 
Kaisey Mandel  University of Cambridge  Supernova cosmology, time domain and transient astronomy, Bayesian modelling 
Justyn Maund  Unversity of Sheffield  Massive stars to supernovaes 
Juan Carlos Maureira  Universidad de Chile  Discrete systems simulation 
Francesca Mauro  MAS/Universidad de Concepcion  
Jon McAuliffe  University of California, Berkeley  Machine learning, statistical prediction, variational inference 
Bruce McCollum  Caltech  
Jason McEwen  University College London  Harmonic and wavelet transforms, compressed sensing, Bayesian inference 
Simona Mei  Universite de Paris  Largescale structure, galaxy evolution 
Christopher Miller  University of Michigan 
Largescale structure, galaxy clusters, astroinformatics

Anais Moller 
CNRS / LPC ClermontFerrand

Reproducibility, statistical coherence, transient classification 
Marcelo Mora  Pontifica Universidad Catolica de Chile  Galaxy formation 
Daniel Mortlock  Imperial College London  Bayesian inference applied to astronomy 
Roberto Pablo Munoz  Pontifica Universidad Catolica de Chile  Formation and evolution of galaxies in highdensity environments 
Alejandra Munozar Arancibia  IFAUV  
Bob Nichol  ICG Portsmouth  Largescale structure, supernovae, advanced statistical methods 
Brian Nord  Fermilab and University of Chicago  Simulationbased inference, uncertainty quantification, deep learning 
Giuliano Pignata  Universidad Andres Bello  Supernovae, cosmology, solar system 
Kara Ponder  SLAC 
SN cosmology, Classification and Followup for Transients, Bayesian inference

Andrew Ptak  NASA GSFC  Extragalatic Xray astrophysics, software development 
Troy Raen  University of Pittsburgh  Classification methods 
Markus Michael Rau  Argonne National Laboratory  Inverse problems, spatial statistics, machine learning 
Umaa Rebbapragada  NASA JPL  Astronomical optical transient vetting, active learning 
Karthik Reddy  University of Maryland, Baltimore County 
Extragalactic jets, Xray and
radio astronomy

Jeffrey Regier  University of Michigan  Bayesian inference, deep learning, deblending 
Gordon Richards  Drexel University  Extragalactic astrophysics, AGN 
Joseph Richards  GE Digital  Statistical and machine learning methods for noisy, highdimensional data 
David Ruppert  Cornell University  Functional data analysis, measurement error models, semiparametric methods, time series; for variable stars and extragalactic astronomy 
Paula Sanchez Saez  Millenium Institute of Astrophysics / Pontificia Universidad  Classification of time series 
Jeffrey Scargle  NASA Ames  Highenergy astrophysics, time series and image analysis 
Chad Schafer  Carnegie Mellon University  Statistical methods, cosmological parameter estimation 
Samuel Schmidt  UC Davis  Photometric redshifts 
Lior Shamir  Lawrence Tech  Image analysis, galaxy morphology 
Raphael Shirley  University of Southhampton  Bayesian inference, image classification 
Aneta Siemiginowska  Harvard CFA 
Supermassive black holes, quasars and active galaxies

Colin Slater  University of Washington  Image differencing algorithms, Milky Way structure 
Aleksandra Solarz  National Center for Nuclear Research  Classification 
Keivan Stassun  Vanderbilt University  Formation of stars and planetary systems 
Hyungsuk Tak  University of Notre Dame  Time series. image data analysis, Bayesian hierarchical modeling 
Ricardo Vilalta  University of Houston  Pattern recognition, data mining, artificial intelligence 
Ashley Villar  Columbia University  Transient classification, hierarchical modelling 
Lucianne Walkowicz  Adler Planetarium  Discovery of unusual events, stellar magnetic activity 
John Wallin  Middle Tennesee State Univ.  Gravitational interactions 
Sam Ward  Institute for Astronomy, University of Cambridge  Bayesian Inference, Type Ia supernovae cosmology 
Larry Wasserman  Carnegie Mellon University  Statistical methods and theory 
Martin Weinberg  University of Massachusetts  Galaxy dynamics, simulation models 
Robert Wolpert  Duke University  Statistical methods and theory 
Michael Woodroofe  University of Michigan  Statistical methods and theory 
Xiaomeng Yan  Texas A&M University  Time series classification 
Ilsang Yoon  NRAO  Classification and characterization of AGN 
Affiliate Members
Member  Institution 
Stephen Bailey  Lawrence Berkeley Laboratory 
Niel Brandt  Penn State University 
Salman Habib  Argonne National Laboratory 
Lynne Jones  University of Washington 
KianTat Lim  SLAC 
Phil Marshall  KIPAC 
Jeffrey Newman  University of Pittsburgh 
Joshua Pepper  Lehigh University 
Cathy Petry  AURA/LSST 
Jonathan Sick  LSST 
Michael Strauss  Princeton University 
Jon Thaler  University of Illinois 