Skills

Statistics

38%

R

35%

Food

27%

Recent Publications

In this paper, we propose two novel basketball metrics: “expected points” for team-based comparisons and “expected …

Matching makes or breaks peer-to-peer (P2P) platforms. As the platform-based P2P markets shift from their grassroots nature toward …

Conventional wisdom dispersed by fans and coaches in the stands at almost any high school track meet suggests female athletes typically …

Incorporating multiple samples for estimation is becoming increasingly popular across industries and disciplines. Indeed, various …

In this paper, we introduce an R software package for simulating plays and drives using play-by-play data from the National Football …

Lab

.js-id-Sports-Analytics

DU Sports Analytics Lab

An interdisciplinary research lab at the University of Denver applying data and analytics to sports-related questions. Co-directed with …

NFLSimulatoR

An R package for simulating plays and drives using play-by-play data from the NFL.

blendR

blendR is an R package for blending data sources

Experience

 
 
 
 
 

Assistant Professor

University of Denver

Sep 2019 – Present Denver
 
 
 
 
 

Dissertation Fellow

Southern Methodist University

Jun 2018 – Jun 2019 Dallas
 
 
 
 
 

Assistant Director of Statistical Consulting Center

Southern Methodist University

Jun 2016 – Jun 2018 Dallas
Statistical consultant for clients in academia, industry, and government.
 
 
 
 
 

Teaching Assistant/Lecturer/Tutor

Southern Methodist University

Aug 2014 – Jun 2018 Dallas

Software

.js-id-Software

DU Sports Analytics Lab

An interdisciplinary research lab at the University of Denver applying data and analytics to sports-related questions. Co-directed with …

NFLSimulatoR

An R package for simulating plays and drives using play-by-play data from the NFL.

blendR

blendR is an R package for blending data sources

Recent & Upcoming Talks

Intro to text-mining with R

We analyze blending a non-probability (big data) sample with a probability sample to make estimates of total

Intro to text-mining with R

Contact

  • 303-871-3186
  • Daniels College of Business
    2101 S University Blvd, Denver, CO 80208
    Office 592