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
G. Jogesh Babu Penn State University Statistical methods and theory
Jacek Becla SLAC Systems for managing extreme-scale 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
Tamas Budavari Johns Hopkins University
Computational statistics, low-dimensional embeddings, scientific databases
Douglas Burke Harvard CFA Galaxy clusters, galaxy evolution, virtual observatory, semantic astronomy
Nathaniel Butler Arizona State University Astrophysical transients
Guillermo Cabrera Millenium Institute of Astrophysics Machine learning, computer vision, data-science, astroinformatics
Yen-Chi 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
Jessica Cisewski Kehe Yale University Statistical methods, topological data, approximate Bayesian computation
James Cordes Cornell University Radio astronomy, neutron stars, pulsars, signal processing techniques 
George Djorgovski Caltech
Computational, data-intensive science, development of cyberinfrastructure
Pedro Antonio Escarate Monetta Universidad Técnica Federico Santa María Electro-optics systems, spectroscopy, astronomical instrumentation
Susana Eyheramendy Pontifica Universidad Catolica de Chile Methods for Big Data
Eric Feigelson Penn State University X-ray studies of star formation, cross-disciplinary astrostatistics
Peter Freeman Carnegie Mellon University Implementation of statistical methods in astronomy
Christopher Genovese Carnegie Mellon University Statistical methods and theory, nonparametric methods
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  
Jon Hakkila College of Charleston Gamma ray bursts
Zeljko Ivezic University of Washington Large survey astronomy
Andrew Jaffe Imperial College Statistical cosmology, testing cosmological theories, Bayesian methods
Elise Jennings Fermilab Computational cosmology, large scale structure
Andres Jordan Pontifica Universidad Catolica de Chile Exoplanets, early-type 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
Francois Lanusse University of California, Berkeley Weak gravitational lensing, deep learning, sparsity based methods
Ann Lee Carnegie Mellon University Statistical and machine learning methods, high-dimensional data
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
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  
Bruce McCollum Caltech  
Jason McEwen University College London Harmonic and wavelet transforms, compressed sensing, Bayesian inference
Christopher Miller University of Michigan
Large-scale structure, galaxy clusters, astroinformatics
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 high-density environments
Alejandra Munozar Arancibia IFA-UV  
Bob Nichol ICG Portsmouth Large-scale structure, supernovae, advanced statistical methods
Misha Pesenson Caltech  
Giuliano Pignata Universidad Andres Bello Supernovae, cosmology, solar system
Andrew Ptak NASA GSFC Extragalatic X-ray astrophysics, software development
Umaa Rebbapragada NASA JPL Astronomical optical transient vetting, active learning
Gordon Richards Drexel University Extragalactic astrophysics, AGN
Joseph Richards GE Digital Statistical and machine learning methods for noisy, high-dimensional data
David Ruppert Cornell University Functional data analysis, measurement error models, semi-parametric methods, time series; for variable stars and extragalactic astronomy
Jeffrey Scargle NASA Ames High-energy 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
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
Lucianne Walkowicz Adler Planetarium Discovery of unusual events, stellar magnetic activity
John Wallin Middle Tennesee State Univ. Gravitational interactions
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

 

Affiliate Members

Member Institution
Stephen Bailey            Lawrence Berkeley Laboratory
Niel Brandt Penn State University
Salman Habib Argonne National Laboratory
Lynne Jones University of Washington
Kian-Tat Lim SLAC
Phil Marshall KIPAC
Jeffrey Newman University of Pittsburgh
Joshua Pepper Lehigh University
Cathy Petry AURA/LSST
Michael Strauss Princeton University
Jon Thaler University of Illinois