Øyvind Bleka

This paper evaluates DNA transfer to stockings using HaloGen, showing its ability to distinguish active contact from social contact, while simplified methods lose important information.

This paper establishes the theoretical basis of HaloGen, a hierarchical Bayesian framework for evaluating DNA evidence under competing activity-level propositions using likelihood ratios.

This paper implements and evaluates the HaloGen framework for calculating activity-level likelihood ratios in DNA transfer evidence, showing how case context affects results.

This study evaluates the calibration and discriminatory power of probabilistic genotyping software in low likelihood ratio ranges using the PROVEDIt dataset.

The paper introduces a method to improve DNA quantity estimation using RFU values and Bayesian Networks, enhancing accuracy for degraded samples and enabling standardized quantification across labs.

The paper develops a Bayesian logistic regression framework with sensitivity analysis to model DNA transfer and persistence on skin surfaces, incorporating multiple contacts and background DNA.