Group

Rachel Knevel

Main PI and head of the Knevel Lab
LinkedIn Github PubMed ORCID

Tjardo Maarseveen

PhD Candidate, bioinformatician, expert in the field of Electronic Health Records and free-text analysis
LinkedIn Github PubMed ORCID

Nils Steinz

PhD Candidate, bioinformatician, expert in data wrangling and deep learning
LinkedIn ORCID Github

Ling Qing

MD and PhD Candidate, focusing on studying disease-related factors and predictions.
LinkedIn Github ORCID

Floor Dijkstra Zegers

PhD candidate, biostatistician, working with prediction of rheumatic diseases in patients with musculoskeletal complaints based on self-reported complaints.
LinkedIn ORCID

Georgy Gomon

MD and PhD candidate, statistician. Working with primary and secondary care electronic healthcare records to further understand the trajectory of patients with musculoskeletal complaints.
LinkedIn Github PubMed ORCID

Daniyal Selani

PhD Researcher working at TU Delft and LUMC, working with the SPIDeRR Consortium on multi-modal embeddings and manifold alignment. The focus of my work is to use data from multiple sources to perform clinically relevant classification and clustering tasks. My background is in data science, computer engineering and deep learning.
LinkedIn

Jyaysi Desai

Jyaysi Desai, PhD. Project manager, involved in coordination, legal support and execution of European consortiums SPIDeRR and SQUEEZE. Day-to day team management.
LinkedIn Google Scholar PubMed ORCID

Suguru Honda

Postdoctoral Researcher, rheumatologist and bioinformatician, expert in deep learning.
LinkedIn Github PubMed ORCID

Inez den Hond

PhD candidate working at LUMC and TU Delft, background in Biomedical Sciences (BSc) & Bioinformatics (MSc). My work focuses on disentangling the clinical and molecular heterogeneity of rheumatoid arthritis by integrating multiple data types (clinical, genetics, transcriptomics).
LinkedIn Github

Bahar Sedaghatikhayat

Postdoctoral researcher, specializing in population genetics and genetic epidemiology. My work focuses on utilizing polygenic risk scores (PRS) to refine disease risk prediction, stratify patient populations, and bridge the gap between genetics and clinical practice.
LinkedIn Google Scholar ORCID

Mick Blikman

Student, bioinformatician, working on a web application to assign disease trajectories to patients
LinkedIn Github

Qingshuang Xie

Master’s student focused on using statistics to understand real-world data. Currently working on my thesis, where I develop predictive models to see how patients with musculoskeletal issues are referred from GPs to specialists.
LinkedIn Github

David Steeman

Data Manager, assisting PhD's within the Knevel Lab with data extractions
LinkedIn Github

Affiliated Members

Yasuo Nagafuchi

Senior Researcher, bioinformatician and rheumatologist, expert in the field of transcriptome and TCR/BCR repertoire analysis.
PubMed ORCID

Samantha Jurado-Zapata

Student, bioinformatician, worked on the genetics of RA remission, currently datamanager at our department
LinkedIn

Alumni

Nick Bos

Student, bioinformatician, working on a web application to assign and visualize JIPs
LinkedIn Github

Inés Pérez-Sancristóbal

Rheumatologist, PhD Candidate, visiting researcher at the Knevel lab, expert in uveitis and rheumatoid arthritis. Currently working on bridging artificial intelligence and clinical rheumatology.
ResearchGate ORCID

Marc Maurits

PostDoc, pseudo-bioinformatician, expert in the field of being really picky and annoying about research, also website developer/maintainer
LinkedIn Github PubMed ORCID