I am a research mathematician by training, now fully engaged in data science and statistical consulting. I use R (a lot!) and Python (occasionally), I have experience with software development and web applications, and I always enjoy learning new tools and technologies. I welcome opportunities to apply my skills and experience to challenging problems, especially those with meaningful and positive social impact.
I am responsible for the statistical analysis of efficacy for BOHEMIA’s ivermectin trials in Kenya and Mozambique. I provide statistical support for research on secondary outcomes (e.g., prevalence of stunting and scabies) and assist with the preparation and dissemination of results.
I lead the analysis and modeling of longitudinal cough data (time series), I prepare and execute statistical analysis protocols for trials and studies (internal, pharma, FDA), and I work with clinical research partners to analyze and publish study results.
This white paper and this one are good examples of my work for Hyfe.
I work with clients on a variety of analysis and modeling projects, including dashboard development, survey analysis, geospatial analysis, webscraping and text analysis, and predictive modeling. Past clients have included the WHO, UNICEF, VIDA, and Threatpie.
These interactive maps and this dashboard are good examples of my work for Databrew.
I launched and directed the Sewanee DataLab, a summer data science program that trained students to collaborate with clients and use their data to solve real problems. I cultivated relationships with clients, helped teach the introductory data science bootcamp, and mentored interns as they learned essential consulting skills.
I teach courses in data science, statistics, and mathematics, I assist students and faculty with data analysis and statistical modeling, and I perform University service.
Ph.D. in Mathematics, University of Utah
M.S. in Mathematics, University of Chicago
B.S. in Mathematics, Wake Forest University
I am a research mathematician by training, now fully engaged in data science and statistical consulting. I use R (a lot!) and Python (occasionally), I have experience with software development and web applications, and I always enjoy learning new tools and technologies. I welcome opportunities to apply my skills and experience to challenging problems, especially those with meaningful and positive social impact.
I am responsible for the statistical analysis of efficacy for BOHEMIA’s ivermectin trials in Kenya and Mozambique. I provide statistical support for research on secondary outcomes (e.g., prevalence of stunting and scabies) and assist with the preparation and dissemination of results.
I lead the analysis and modeling of longitudinal cough data (time series), I prepare and execute statistical analysis protocols for trials and studies (internal, pharma, FDA), and I work with clinical research partners to analyze and publish study results.
I work with clients on a variety of analysis and modeling projects, including dashboard development, survey analysis, geospatial analysis, webscraping and text analysis, and predictive modeling. Past clients have included the WHO, UNICEF, VIDA, and Threatpie.
I teach mathematics and statistics courses, assist students and faculty with data analysis and statistical modeling, and perform University service.
Ph.D. in Mathematics, University of Utah
M.S. in Mathematics, University of Chicago
B.S. in Mathematics, Wake Forest University