Ph.D. Program Poster Session

Ph.D. students in their 4th year and above will present their research illustrating their methods and outcomes. 

• Entejar Alam: “DPGLM: A Semiparametric Bayesian GLM with Inhomogeneous Normalized Random Measures”
• Daniel Barreto: “Recursive Adaptive Importance Sampling with Optimal Replenishment”
• Soumyabrata Bose: “Weighted Asymptotically Optimal Sequential Testing”
• Bernardo Flores Lopez: “A Dependent Feature Allocation Model Based on Random Fields”
• Nevena Gligic: “Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning”
• Yiwei Gong: “Hyperbolic Latent Space Models for Network Data: Model Specification and Bayesian Inference"
• Emily Hsiao: “Meta-Analytic Evaluation of Resilience to the Surrogate Paradox”
• Huy Nguyen: “On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating"
• Khai Nguyen: “Bayesian Multiple Multivariate Density-Density Regression”
• Rachael Ren: “A Multi-Stage Bayesian Approach to Fit Spatial Point Process Models”
• Ritwik Vashistha: “Convolutional Maximum Mean Discrepancy for Inference in Noisy Data”
• Liyang Xie: “Distilled Protein Backbone Generation”