activity
20052026
most citedGenetic progression and the waiting time to cancer

417 citations · 962 across the 24 of their papers we have counts for

collaborators

27 papers

math-ph2026

Unifying non-Markovian Dynamics and Agent Heterogeneity in Scalable Stochastic Networks

Aurelien Pelissier, Miroslav Phan, Didier Le Bail +2

Stochastic processes underpin dynamics across biology, physics, epidemiology, and finance, yet accurately simulating them remains a major challenge. Classical approaches such as th…

q-bio.PE2026

Numerical approximations of population size distributions for multi-type branching processes

Xiang Ge Luo, Jack Kuipers, Niko Beerenwinkel

Continuous-time multi-type branching processes are fundamental models for expanding and migrating populations with cancer evolution being a prototypical example. Inferring model pa…

cs.CL2025

HIVMedQA: Benchmarking large language models for HIV medical decision support

Gonzalo Cardenal-Antolin, Jacques Fellay, Bashkim Jaha +3

Large language models (LLMs) are emerging as valuable tools to support clinicians in routine decision-making. HIV management is a compelling use case due to its complexity, includi…

stat.ML2023★ 1 cited

Fair Clustering: A Causal Perspective

Fritz Bayer, Drago Plecko, Niko Beerenwinkel +1

Clustering algorithms may unintentionally propagate or intensify existing disparities, leading to unfair representations or biased decision-making. Current fair clustering methods…

stat.ML2023

On the Properties and Estimation of Pointwise Mutual Information Profiles

Paweł Czyż, Frederic Grabowski, Julia E. Vogt +2

The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables. One of its important properti…

q-bio.GN2023

Genomic reproducibility in the bioinformatics era

Pelin Icer Baykal, Paweł P. Łabaj, Florian Markowetz +4

In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results. However, in genomics, the definition and implementation…