Welcome!

I am a Research Statistician Developer at SAS where I am a part of a small team in Advanced Analytics R&D that designs and develops graphical user interfaces (“tasks”) in SAS® Studio to help make the analytical methods in SAS easier to learn and use.

SAS Studio is a more modern interface for SAS that you can use in place of the SAS Windowing Environment or Enterprise Guide®. SAS Studio is not a stand-alone product but is available with Base SAS® or SAS® Viya®. SAS Studio is also the primary interface for SAS® University Edition, which is free to students, educators, and learners for non-commercial use, and can be installed on all three major operating systems. Yes, it actually works on Mac and Linux! If you use statistical software, I encourage you to check it out!

I recently finished my PhD in statistics at North Carolina State University under the direction of Hua Zhou and Eric Chi. My research interests include machine learning, big and high-dimensional data, computational statistics, and statistics education. While in grad school, I served as an instructor for ST311 (introductory statistics) for several semesters. I also gained real-world experience as a Data Scientist Intern at MaxPoint Interactive and as a statistical consultant for the NC State University College of Veterinary Medicine. Please take a look around my website and feel free to contact me if you have any questions or comments.

Recent News

  • I will be attending and presenting software demos at SAS Global Forum 2018 in Denver, Colorado, which will be held April 8-11. In addition to working the demo booth for SAS Studio tasks and SAS University Edition, I will also be presenting super demos at the following times:
Day Time Title Session Location
Monday 10:30 Modern Variable Selection at Scale Using SAS® Viya® and SAS® Studio SD803 Super Demo 8
Monday 2:30 Taming Text Data SD809 Super Demo 8
Tuesday 11:00 Perform Power and Sample Size Analysis with SAS® Studio Tasks SD811 Super Demo 8