18th Annual Innovations in Design, Analysis, and Dissemination: Frontiers in Biostatistics & Data Science Meeting

Sponsors:The University of Kansas Medical Center Department of Biostatistics & Data Science, Kansas Western-Missouri Chapter of the American Statistical Association, University of Kansas Cancer Center, Quantitative Omics Core that supports the Kansas Institute for Precision Medicine, K-INBRE, and EMB Statistical Solutions, LLC.

Program at a glance:

Day 1 Program (Ad Astra Room (5th floor), Health Education Building)
Thursday, April 17th 2025
7:45a - 8:15a	Arrival
8:20a - 8:30a	Opening Remarks
8:30a - 9:30a	Keynote Lecture: Lu Wang, PhD Title: Precision Medicine in Action: Leveraging Causal Learning and Reinforcement Learning for Dynamic Treatment Decisions
9:30a - 10:00a	Break
10:00a - 12:00a	Invited/Contributed Presentations: Invited Speaker: Weixing Song, PhD, Model-Free Feature Selection for Ultra-High Dimensional Data with Measurement Error Contributed Speaker: Francisco Diaz, PhD, An experimental design for clinical trials testing the individualization potential of an individualized treatment rule Invited Speaker: Xiaokang Liu, PhD, Targeted Learning via Probabilistic Subpopulation Matching Contributed Speaker: Md Saiful Islam Saif, MS, Bridge Sample Selection and Batch Correction in High-Dimensional Data
12:00p - 01:00p	Lunch Break
01:00p - 03:00p	Invited/Contributed Presentations: Invited Speaker: Jiaqi Huang, PhD, A Dynamic KNN Based Detection for Data Poisoning Attacks Contributed Speaker: Chongliang Luo, PhD, Optimal surrogate-assisted sampling for cost-efficient validation of electronic health record outcomes Invited Speaker: Isuru Ratnayake, PhD, Spatiotemporal Forecasting of Influenza Using a Novel Spatial COM-INGARCH Model Contributed Speaker: Indranil Mukhopadhyay, PhD, Pseudotime reconstruction based on single cell RNA-seq data
03:00p - 05:00p	Poster Session and Mixer
Day 2 Program (Ad Astra Room (5th floor), Health Education Building)
Friday, April 18th 2025
08:00a - 08:30a	Arrival
08:30a - 12:00a	Short Course:Deep Learning for Statisticians Speaker: Xiao Wang, PhD, Head, J.O. Berger and M.E. Bock Professor of Statistics, Purdue University Speaker: Haoyun Yin, Doctoral Student, Department of Statistics, Purdue University
12:00p - 01:00p	Lunch
01:00p - 03:30p	Invited/Contributed Presentations: Contributed Speaker: Sudeepa Bhattacharyya, PhD, Data-Driven Precision Medicine in Major Depressive Disorder: Integrating Multimodal Insights for Personalized Treatment Invited Speaker: Xin Xing, PhD, Foundation Model Application on Medical Data Contributed Speaker: Kazi Md Farhad Mahmud, MS, Equivalency between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model with Interaction Effects Invited Speaker: Shachi Patel, PhD, Semaglutide in obesity-related heart failure with preserved ejection fraction and type 2 diabetes across baseline HbA1c levels (STEP-HFpEF DM): a prespecified analysis of heart failure and metabolic outcomes from a randomised, placebo-controlled trial Contributed Speaker: Sounak Chakraborty, PhD, B-MASTER: Scalable Bayesian Multivariate Regression Analysis for Selecting Targeted Essential Regressors to Identify the Key Genera in Microbiome-Metabolite Relation Dynamics
03:30p - 03:35p	Closing Remarks

Poster presentations:

Presenter	Abstract Title
Kaustubh Nimkar	Prediction and Monitoring of Accrual and Rate of Underrepresented Biomedical Research Group using Bayesian Methods
Rishav Mukherjee	FORCE: Feature-Oriented Representation with Clustering and Explanation
Derrick Asante	Impact of COVID-19 on Homefield Advantage in College Football
Stephanie Colwell	Modeling Count Time Series with Spatial Dependence: A COM-Poisson INGARCH Approach
Geethanjalee Mudunkotuwa	Design of non- inferiority clinical trials for time-to-event outcomes in scenarios with non-proportional hazards using the concept of Relative Time when inference is built on comparing two Weibull distributions
Bethany Bengs	Integrated Digital Twin Approach for Comprehensive Alzheimer's Patient Characterization
Indrani Sarker	Historical Redlining and Breast Cancer Screening: A Spatial Analysis in the KU Cancer Center Catchment Area
Jianzheng Wu	Estimating Baseline Cutoffs for DHA Dosage in Preterm Birth Prevention: A Bayesian Personalized Change-Point Analysis
Brahian Cano Urrego	A stochastic approach to k-nearest neighbors search using a fixed radius method
Clayton Mansel	How Prevalence, Incidence, and Proxy Definitions Affect the Association Between APOE and Dementia in the All of Us Research Program: Implications for Genome-Wide Association Studies
Stephan Komladzei	Identifying Gene Networks for Liver Cancer Outcome Classification: Insights into Incidence and Survival
Kwame Yeboah	A comparison study in deep learning based pathological plaque detection
Xiaoxu Deng	An R package for Survival-based Gene Set Enrichment Analysis
Oluwatobiloba Ige	A preliminary investigation on the effectiveness of delta radiomics for Automated multi-locoregional recurrence prediction in HNSCC
Oluwatobiloba Ige	Automated Multi-objective Model for Thrombotic and Bleeding Risk Prediction in End Stage Kidney Disease (ESKD) Patients
Mohammod Mahmudur Rahman	A Bayesian Model with Seasonal Effects for Predicting Accrual in Severe Traumatic Brain Injury Clinical Trials
Foyez Ahmmed	Estimation and inference for the sensitivity and the specificity under a generalized ROC defined on R^2- an inferential framework for biomarker combination.
Lauren Yoksh	Extending the Satterthwaite Method for Unequal Variances to Linear Mixed Models to Compare pTau217 in Alzheimer's Disease versus Controls Following Lactate Infusion
Murshalina Akhter	Advancing Alzheimer's Disease Diagnosis with Brain Network-Informed Machine Learning
Ananda Jayawardhana	The Association between Depression and Socio-Economic and other Individual Characteristics among Older Adults
Pooja Maheria	The impact of maternal hypertension, BMI, and gestational age on maternal morbidity across racial and ethnic groups in the United States
Atikur Rahman	Ensuring data Privacy in High-dimensional multimodal and multicenter learning with ADMM-based Federated Learning
Indrani Sarker	Differential Correlation Structure in High Dimensional Data
Prerna Dua	Tobacco use and its impact on Chronic Obstructive Pulmonary Disease, and COVID-19: Longitudinal Evidence from a Medicaid Cohort
Sauda Muabarak	Spatial Modeling of Breast Cancer Mortality Risk Within Kansas City
Md Tamzid Islam	Integrating genomic, clinical, and demographic features to identify digital twins for profiling head and neck cancer patients
Olivia Rippee	Geographically Weighted Analysis of Socioeconomic and Demographic Determinants of Breast Cancer Screening in Kansas
Jaromme Kim	Reconstructing Patient-Level Survival Data from Published Kaplan-Meier Survival Curves
Piali Dey Bristi	Large Language Models to Predict Breast Cancer Utilizing Unstructured Text in Pathology Report
Sauda Mubarak	ProteinNorm and MultiSLIDE: Advanced Normalization and Interactive Visualization for Phospho-Proteomics and Multi-Omics Data Analysis.
Setorwu Dzesu	Brain Age Prediction Using Machine Learning Methods and Identification of Relevant Biomarkers