Robert Brunner

Robert Brunner

Associate Dean for Innovation and Chief Disruption Officer and Professor of Accountancy and Arthur Andersen Faculty Fellow

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Contact

355 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-244-6099

bigdog@illinois.edu

Google Scholar

Listings

Educational Background

  • Ph.D., Astronomy, John Hopkins University, 1998
  • M.A., Astronomy, John Hopkins University, 1994
  • M.S., Physics, Purdue University, 1992
  • B.S., Physics, Purdue University, 1990

Positions Held

  • Associate Dean for Innovation and Chief Disruption Officer, Gies College of Business, 2019 to present
  • Professor, School of Information Sciences, University of Illinois, 2017-2018
  • Director, University of Illinois - Deloitte Foundation Center for Business Analytics, University of Illinois at Urbana-Champaign, 2017 to present
  • Professor of Accountancy, University of Illinois at Urbana-Champaign, 2017 to present
  • Data Science, Expert in Residence, University of Illinois, Research Park, 2016 to present
  • Faculty Affiliate, Department of Astronomy, University of Illinois, 2016 to present
  • Professor, Department of Astronomy, University of Illinois, 2014-2016
  • Faculty Affiliate, Beckman Institute, University of Illinois, 2014 to present
  • Faculty Affiliate, Department of Statistics, University of Illinois, 2014 to present
  • Faculty Affiliate, Informatics Institute, University of Illinois, 2014 to present
  • Faculty Affiliate, National Center for Supercomputering Applications (NCSA), University of Illinois, 2014 to present
  • Associate Professor, Department of Astronomy, University of Illinois, 2008-2014
  • Faculty Affiliate, Computational Science & Engineering, University of Illinois, 2008 to present

Recent Publications

  • Brunner, R., Biscarri, W., & Zhao, S. (2018). A simple and fast method for computing the Poisson binomial distribution function. Computational Statistics and Data Analysis, 122 92-100.
  • Brunner, R., Carrasco, M., & Yu, W. (2017). Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs. Astronomy and Computing, 20 128-139.
  • Brunner, R., & Kim, E. (2016). Teaching data science. Procedia Computer Science, 80 1947-1956.

Other Publications

Case Studies

  • Brunner, R., & et, a. (2017). Challenges of workload analysis on large HPC systems; A case study on NCSA Bluewaters. EARC 2017-Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact.

Working Papers

  • Anand, V., Brunner, R., Ikegwu, K., & Sougiannis, T. The Prediction of Profitability Using Machine Learning.

Honors and Awards

  • Arthur Andersen Faculty Fellow Department of Accountancy, University of Illinois at Urbana-Champaign, 2018 to present

Courses

  • Data Analytics Foundations (ACCY 570) Concepts and foundations underlying data analytics for accountancy. Provides fundamental knowledge of how to acquire, organize, synthesize and analyze large volumes of data to address questions and problems. After completing this course, students should (1) have a foundational understanding of the techniques underlying data analytics, (2) recognize scenarios and identify appropriate tools for various types of data analysis and (3) use common computer-based tools to perform data analysis. 2 or 4 graduate hours. No professional credit. May be repeated up to 4 hours for iMSA and online students that complete the first part of the course content in a 2-hour section (part A) and then complete the remainder of the class in a second 2-hour section (part B).
  • Stat Analyses for Accountancy (ACCY 571) Fundamental knowledge of how to perform statistical analyses useful for leveraging accounting information to solve business problems. After completing this course, students should (1) have a foundational understanding of the statistical analyses underlying data analytics, (2) recognize scenarios and identify appropriate statistical tools for various types of data analysis and (3) use common computer-based tools to perform statistical analyses. 2 or 4 graduate hours. No professional credit. May be repeated up to 4 hours for iMSA and online students that complete the first part of the course content in a 2-hour section (part A) and then complete the remainder of the class in a second 2-hour section (part B).
  • Technology and Disruption (BUS 199) Approved for both letter and S/U grading. May be repeated.

Contact

355 Wohlers Hall

1206 S. Sixth

Champaign, IL 61820

217-244-6099

bigdog@illinois.edu

Google Scholar