PhD student Gehui Zhang has been selected as the winner of the 2024 SBSS student paper competition. Zhang will travel to the 2024 Joint Statistical Meetings in Portland, Oregon to present research titled Stochastic Volatility with Informative Missingness. The paper pioneer's statistical methodology for stochastic volatility models with non-random missing data. Introducing a novel imputation method based on Tukey's representation, combined with conditional particle filtering, the approach overcomes limitations in existing methods. Demonstrated through cell phone self-reported mood data, it opens options for dynamic variability research in sensitive contexts. Zhang is advised by Gong Tang and Robert Krafty. Congratulations!