The SCMA conference is truly cross-disciplinary — presentations by invited scholars of astronomical sciences are accompanied by statistician commentaries (and vice versa). Themes include statistical modeling of astronomical phenomena, discovering hidden astronomical signals, and enhancing the roles of machine learning for astrophysical insights. The SCMA VII conference is being held at a critical moment in time, as astrostatistical efforts are thriving around the world with increasing impact on the broader research enterprise.

SCMA VII Scientific Organizing Committee (SOC)

  • Jogesh Babu (statistics and astronomy), The Pennsylvania State University
  • Bruce Bassett (cosmology and statistics), University of Capetown
  • Alessandra Brazzale (statistics), University of Padua
  • Tamas Budavari (applied mathematics and astronomy), Johns Hopkins University 
  • Jessi Cisewski-Kehe (statistics), University of Wisconsin
  • Pablo Estevez (engineering), University of Chile
  • Eric Feigelson (astronomy and statistics), The Pennsylvania State University, SOC co-chair
  • Eric Ford (astronomy), The Pennsylvania State University
  • Francisco Forster (astronomy and mathematics), University of Chile
  • Emille Ishida (astrostatistics), Université Clermont-Auvergne, SOC co-chair
  • Zelko Ivezic (astronomy), University of Washington  
  • Xiao-Li Meng (statistics), Harvard University 
  • Chad Schafer (statistics), Carnegie Mellon University, SOC co-chair
  • Hyungsuk Tak (statistics and astronomy), The Pennsylvania State University