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Illinois_Park

Principal Investigator

Chan Park

Organization

University of Illinois Urbana-Champaign

Field of Science

Statistics

Description

My research broadly focuses on (a) causal inference under interference and non-i.i.d. settings, (b) causal inference under unmeasured confounding, and (c) optimal treatment regimes and policy learning. A common theme in my research is to use non/semiparametric theory and optimization methods to develop efficient and robust estimators of causal quantities in (a)-(c). Website: https://www.chanpark.net/

1,603,830

Jobs Ran

1,103,496

CPU Core Hours

93

Contributing Institutions

1,307,390

OSDF Objects Transferred

1 PB

OSDF Bytes Transferred

Contributing Institutions

Jobs by Institution
  • University of Wisconsin–Madison — 277,587 (17.3%)
  • Indiana University — 150,386 (9.4%)
  • University of Chicago — 116,948 (7.3%)
  • Montana State University — 82,800 (5.2%)
  • Purdue University West Lafayette — 82,695 (5.2%)
  • University of Utah — 81,453 (5.1%)
  • Clemson University — 63,583 (4.0%)
  • University of Connecticut — 43,234 (2.7%)
  • Internet2 — 41,898 (2.6%)
  • Lehigh University — 41,770 (2.6%)
  • University of Washington — 33,633 (2.1%)
  • University of Missouri — 29,452 (1.8%)
  • University of Arkansas at Little Rock — 27,727 (1.7%)
  • American Museum of Natural History — 27,472 (1.7%)
  • Kansas State University — 26,663 (1.7%)
  • Other — 476,529 (29.7%)
Map of Contributing Institutions