💼 Assistant Professor at Wake Forest University in the Department of Statistical Sciences, with a secondary appointment in the Department of Biostatistics and Data Science
👩🔬 Co-lead the Spatial and Environmental Statistics in Health (SESH) Lab at Wake Forest and the Methods for INcomplete Data (MIND) Lab at the University of North Carolina at Chapel Hill
👋 Co-organize Florence Nightingale Day, welcoming local middle and high schools to explore statistics and data science at Wake Forest
🐏 Postdoctoral Fellowship in Biostatistics at the University of North Carolina at Chapel Hill under the supervision of Dr. Tanya Garcia
⚓️ Ph.D. in Biostatistics at Vanderbilt University under the mentorship of Drs. Bryan Shepherd and Ran Tao
🐊 B.S. in Statistics (summa cum laude) from the University of Florida
🚀 Originally from Florida, having grown up in a family of rocket scientists minutes from Kennedy Space Center
I love data and people; I especially love data about people.
Email: lotspes AT wfu DOT edu
Milestones, Announcements, and Other Matters Sarah Is Excited About
(See the Hall of Hoorays for Archived Excitement)
October 2025
I was invited to give a seminar on my ongoing research on "Electronic health records: With great-ish data comes great responsibility" at University of Virginia, School of Data Science in Charlottesville, VA. [Slides]
October 2025
I shared a new project where we investigate "Applying LLMs to Support Data Augmentation in EHR Research," for the 4th Annual International Day of Women in Statistics and Data Science. [Slides]
September 2025
I gave a webinar on “Rerouting our thinking: Computationally simple measures misrepresent the food access landscape," for the North Carolina Chapter of the American Statistical Association. [Slides]
September 2025
Supporting student research is my favorite part of my job at Wake Forest University, and I'm so excited for another great semester with these incredible trainees!
September 2025
I spoke about how “Plotting the future: Mentoring student researchers and building a collaborative lab” Royal Statistical Society International Meeting in Edinburgh, Scotland. [Slides]