Biography

Ryan Elmore is an associate professor in the Department of Business Information and Analytics, Daniels College of Business. Prior to Daniels, he worked as a Senior Scientist in the Computational Sciences Center at the National Renewable Energy Lab in Golden, Colorado. He has also held positions at the Australian National University, Colorado State University, and Slide, Inc. Elmore’s research interests include statistics in sports, nonparametric statistical methods, and energy efficient high-performance computing. He is currently an Associate Editor for the Journal of Quantitative Analysis of Sports (2015–present).

Ryan’s work has been featured in The Economist, The Wall Street Journal, The Telegraph, The Guardian, and The Fried Egg Podcast.

Ryan’s full CV can be found here.

Winter 2019 Teaching Schedule (University of Denver):

• INFO 4390: Advanced Predictive Modeling
  • Tu, Th 6 - 7.50
• INFO 2020: Business Modeling
  • Section 5: Tu, Th 10 - 11.50
  • Section 6: Tu, Th 12 - 1.50
    

Previous Courses at DU:

• INFO 2020 (multiple sections)
• INFO 4390
• INFO 3700 (Sports Analytics)

Previous Courses:

• Data Analysis and Regression (CSU Grad)
• Nonparametric Statistics (CSU Grad)
• Multiple Regression Analysis (CSU UGrad)
• Multivariate Analysis (CSU Grad)
• Statistical Science (CSU Grad)
• Advanced Theory of Statistics I (CSU Grad)
• Probability and Stochastic Processes (ANU UGrad)
• Probability (PSU UGrad)
• Computing Environments (PSU Grad)
• Introduction to Biostatistics (PSU UGrad)
• Experimental Methods I (PSU UGrad)