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Area(s)
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Title
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Presenter
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CMC
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Optimal Experimental Designs for Process Robustness Studies
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Peter Goos (KU Leuven)
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CMC
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Enhancing Patient-Centered Care: Bridging Pharma and Medical Device Technologies Through Collaborative Statistical Practices
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Yiming Peng (Genentech), Yenny Webb Vargas (Genentech)
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CMC
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To Dilute or Not to Dilute: Nominal Titer Dosing for Genetic Medicines
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Tianhui Zhang (Lilly)
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| CMC |
Shelf-Life Estimation and Internal Release Limits accounting for a Series of Storage Excursions through Bayesian Kinetic Hierarchical Model
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Ji Young Kim (Takeda)
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| CMC |
Measurement System Analysis: Practical Considerations for Setting Acceptance Criteria in Gage R&R Studies
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Hao Wang (BMS)
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| CMC |
Statistical assessment for analytical comparability between pre-change and post-change processes
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Bill Pikounis (J&J)
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| CMC |
Leveraging an Experimental Database to Inform an OMARS designed experiment
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Peili Wang (Pfizer)
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| CMC |
Bayesian Approach to address common data challenges in CMC
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Faith Dunbar (Takeda)
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| Student Presentation |
Tolerance Interval Construction via Hierarchical Dirichlet Processes
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Seokjun Choi (University of California, Santa Cruz)
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| Student Presentation |
Testing the Equivalence of Intra-Subject Covariance Matrices in Crossover Designs
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Bo Liu (University of Maryland, Baltimore County)
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| Student Presentation |
Differential Projection Pursuit: A machine learning method to find regions with maximal difference between distributions
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Mahan Dastgiri (Rutgers University)
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| Discovery |
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
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Dr. Michael Lingzhi Li (Harvard Business School)
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|
Discovery
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Translating Lupus: Comparative Transcriptional Profiles of Preclinical Lupus Models and Their Relevance to Human Disease
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Ching-Yun (Veavi) Chang (Lilly)
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| Discovery |
Large Row-Constrained Supersaturated Designs for High-throughput Screening
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Byran Smucker (Henry Ford Health)
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| Discovery |
Insights about experiment design and data analysis in non-clinical studies learnt from Lord’s Paradox
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Weiliang Qiu (Sanofi)
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| Discovery |
The A-R-Cs of Supporting High-Throughput Screening Assays
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Traymon Beavers (J&J)
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| Discovery |
Do hemolyzed samples interfere with cytokines quantification?
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Thi Dong Binh Tran (Pfizer)
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| Discovery |
Navigating the Uncertain Waters of Black-Box QSAR Modeling with Conformal Prediction Intervals
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Gregory Steeno (Pfizer)
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| Discovery |
Foundation Models for Robust Object Tracking in Home-Cage Behavioral Phenotyping Studies
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Reuben Retnam (Takeda)
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Safety
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Challenges in Early-stage Prediction of Drug-Induced Liver Injury
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Jan Serroyen (J&J)
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|
Safety
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Virtual Control Groups in Preclinical Drug Safety Assessment
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Dingzhou Li (Pfizer)
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| Safety |
Innovating Preclinical Statistics Education
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Jacob Fiksel (Vertex)
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| Safety |
Comparative Study of Experimental Designs
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Bing Liu (Pfizer)
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| Safety |
Analyzing Digital endpoints Using LASSO and Elastic Net Techniques
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Kanaka Tatikola (J&J)
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| Safety |
Sample Size Reduction in Preclinical Experiments: A Bayesian Sequential Decision-Making Framework
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Jizhou Kang (UC Santa Cruz)
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|
Emerging Tools
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Differential Projection Pursuit on Flow Cytometry Data to Identify and Profile Immune Cells Compromised by Exposure to HIV
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Davit Sargsyan (J&J)
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| Emerging Tools |
Evaluation of Quality Document Retrieval Tools Using Synthetic Examples
|
Zhoushanyue He (Roche)
|
| Emerging Tools |
SubVision: Deep Learning to Accelerate Biopharmaceutical Formulation Development
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Yue-Ming Chen (Merck)
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| Emerging Tools |
Illuminating the role of statistics in GenAI
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Stephanie Young (J&J)
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| Emerging Tools |
Application of Causal Machine Learning in Pharmaceutical Manufacturing
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Ranran Dong (Genentech)
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Emerging Tools
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Modern Tools to Meet the Challenges of Preclinical Translation to the Clinic
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Steven Novick (Takeda)
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