Workshop on High-Dimensional Statistical Learning

We organize a half-day workshop on high-dimensional statistical learning from multi-view data in biomedical research on the occasion of the visit of Daniela Witten (Dorothy Gilford Endowed Chair and Professor of Statistics & Biostatistics, University of Washington, USA) to OCBE & Integreat

Program
timespeakertitle
09:00 - 09.05Valeria Vitellishort introduction
09:05 - 09:20Riccardo De BinBoosting first-hitting-time models for time-to-event analysis
09:20 - 09:35William DenaultNash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression
09:35 - 09:50Camilla LingjærdeCovariate-Dependent Graphical Modeling of Omics Data via the Graphical Horseshoe Prior
09:50 - 10:00break 
10:00 - 10:30lightning talksAnna Plaksienko: "Estimating differential gene networks by integrating gene expression and methylation data"
Christoffer Lingjærde: “Prediction with a Missing Modality via Cross-Modal Substitution”
Youssef Wally: "Cell Niche discovery via taxonomy-aware spatial association rule mining"
Touqeer Ahmad: “Nearest-neighbor LASSO logistic regression for the gradient” 
10:30 - 10:45Leiv RønnebergBayesian variable selection in ultra-high dimensional function-on-scalar regression via Gaussian Processes
10:45 - 11:00Anis YazidiMachine Learning for Dementia Prediction Using Multimodal Brain Data
11:00 - 11:15break 
11:15 - 11:30Ove ØyåsFrom data-driven to knowledge-based integration of multi-omics data
11:30 - 12:00lightning talksFatih Kizilaslan: "Mixture cure model for high-dimensional covariates" 
Ziyu Zhang: “Benchmarking Gene Prioritization Methods in High-Dimensional Biomedical Data Integration”
Jonas Nordstrøm: "Rank-based co-clustering approaches for high-dimensional data"
Marco Speciale: "Measuring Text Similarity in Italian Clinical Discharge Summaries"
12:00 - 13:15lunch & mingling 
13:30 - 14:30biostatistics seminar, Daniela Wittensee here for details

Registration

Please register at this link: https://nettskjema.no/a/625149 
Deadline: May 11th, 2026 at 11:00

Published Jan. 19, 2026 11:09 AM - Last modified May 18, 2026 11:42 AM