The 2024 Women in Statistics and Data Science Conference is underway in Reston, Virginia, from October 16 through 18. We are proud of the department members and alumni involved with this year's meeting. They include:
MS student Zongyue Teng
- First and presenting author of "Going for gold: Using record linkage and Bayesian hierarchical modeling to select winning gymnasts at the 2024 Paris Olympics" (speed session Wednesday, poster Thursday; graphic via WakeForestStats)
Sarah Lotspeich (PhD 2021)
- Co-author of "Quantifying the impact of measurement error on health disparities models" (speed session Wednesday, poster Thursday)
- Organizer of and speaker in "Mastering Data: Insights into Master's Degrees in Statistics and Analytics" (panel, Thursday)
- Organizer of "More than Statistics: Improving Maternal and Infant Health with Data" (invited session, Thursday)
- Co-author of "Adjusting for covariate misclassification to quantify the relationship between diabetes and local access to healthy food" (speed session 3, Thursday)
- Co-organizer of and speaker in "Statistical Methods For HIV Research: Battling An Epidemic With Linked, Missing, And Error-prone Data" (invited session, Thursday)
- Panelist for "Statistical Storytelling: Insights Into Effective Presentation Strategies" (Friday)
- Organizer of "Cause For Celebration: Adapting Causal Inference Methods For Challenging Datasets" (invited session, Friday)
PhD student Ashley Mullan
- First and presenting author of "Adjusting for covariate misclassification to quantify the relationship between diabetes and local access to healthy food" (speed session and poster, Thursday)
- Chair of and panelist for "Statistical Storytelling: Insights Into Effective Presentation Strategies" (Friday)
Lead biostatistician Amy Perkins
- First and presenting author of "Machine Learning Model Robustness and Performance Stability in Future Years when Predicting Adverse Events in a Veteran Population and a Diabetic Subpopulation" (speed session and poster, Thursday). Co-authors include assistant professor Amber Hackstadt and professor Michael Matheny.
Lucy D'Agostino McGowan (PhD 2018):
- Speaker in "Statistical Methods for Missing Data Imputation" (panel, Thursday)
- Co-organizer of "Statistical Methods For HIV Research: Battling An Epidemic With Linked, Missing, And Error-prone Data" (invited session, Thursday)
- Panelist for "Statistical Storytelling: Insights Into Effective Presentation Strategies" (Friday)
- Speaker in "Cause For Celebration: Adapting Causal Inference Methods For Challenging Datasets" (invited session, Friday)