Pizza Club

Date(s) - 25/04/2024
5:30 pm - 7:00 pm

BT2 Détente / Kitchenette 1st Floor room 101


Do you like scientific discussion? And how about Pizza?

If we gained your attention with ‘scientific’, or at least with ‘Pizza’, then you are already looking forward to the right event!

Pizza Club is a regularly held Journal Club event co-organized by The Representatives of the Doctoral Programme in Systems and Molecular Biomedicine, part of the Doctoral School in Science and Engineering (DSSE); and the student association ISCB RSG Luxembourg.

In short, Students (PhD candidates) present a scientific paper (+- 20 mins) they find interesting or that inspired the development of their individual PhD project (doesn’t need to be authored by the speaker).

There will be a open discussion round after each scientific presentation (2-3 students per event), followed by informal and fun chatting with some pizzas around!

Moreover, each presentation of peer-reviewed papers will be rewarded by 0.5 ECTS!

Presenter introduction: Rebecca is a 3rd year PhD student at Biomedical Data Science Group, LCSB. Her research focus is on the identification of factors for complications of Parkinson’s disease using statistical and machine learning methods.

Article: “Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: a machine learning analysis and Tree SHAP interpretation”, McFall et al., 2023. (Link

Article description: The article introduces a data-driven protocol to integrate classifier models and Tree SHAP method to identify and interpret the risk factors of early dementia in patients with Parkinson’s disease.


Presenter introduction: Hughes is a 1st year PhD student in System Biology Group supervised by Pr. Thomas Sauter. He is particularly interested to understand the interplay of cancer associated fibroblasts in context of head and neck squamous cell carcinoma (HNSCC) using computational approaches.

Article: “NicheNet: modeling intercellular communication by linking ligands to target genes”, Browaeys et al., 2020 (

Summary: NicheNet is a method for predicting ligand-target relationships between interacting cells by combining their expression data (scRNA-Seq) with prior knowledge of signaling and gene regulation networks. It allows the identification of active ligands and their gene regulatory effects on interacting cells, notably within the tumoral and immune microenvironment.

If we attracted your interest by now, feel free to join the monthly Pizza Club, either as part of Audience or as a registered Speaker. For the latter, please kindly use this form to sign up as an upcoming Speaker, by choosing your category of paper and desired month to present. Looking forward to seeing you at the next Pizza Club!