I am a software engineer at Uber ATG, where I work on computer vision and machine learning for mapping and autonomous driving.

My previous work at Ibotta used machine learning to improve fraud detection, content personalization, and user churn. Prior to Ibotta I worked at Pivotal Labs, Automated Insights, and the Lawrence Livermore National Laboratory.

Personal interests include history, hiking, and Bayesian statistics. My graduate studies focused on Bayesian non-parametric approaches to machine learning and artificial intelligence. Most of my statistical work is done in Python, R, and Spark.

I have also taught introductory programming and data science courses at Duke University, Washington University, and University of Miami. I am a certified instructor with Software Carpentry and Data Carpentry and am available to teach workshops.

For additional information, including a copy of my résumé or CV, email me.