Laurens Van De Wiel
Postdoctoral Scholar - Bioinformatics
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolLaurens Van De Wiel is a bioinformatics postdoctoral scholar and software engineer with a decade of experience building large-scale scientific software and multi-omic workflows for rare disease discovery. Combining a PhD in bioinformatics with industry experience in data-intensive systems, he developed MetaDome—a web server used by over 15,000 researchers and clinicians—to make variant interpretation broadly accessible. At Stanford he leads a Rubicon Fellowship-funded project integrating multi-omic data to reveal disruptive alternative splicing in rare disorders, reflecting a pragmatic shift from ever-larger cohorts to richer molecular context. He also advises investors and strategy firms on the deployment and risks of foundation models in genomics, bridging technical due diligence with clinical applicability. Known for translating structural and evolutionary biology into diagnosable gene discoveries, he has directly enabled diagnoses for hundreds of families worldwide.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics (Human) Genetics Structural Bioinformatics Rare Diseases, Doctor of Philosophy - PhD Bioinformatics (Human) Genetics Structural Bioinformatics Rare Diseases at Radboud Institute for Molecular Life Sciences (RIMLS)Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Radboud UniversityBachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Avans University of Applied SciencesHavo, Havo at Maasland College, Oss
Stackoverflow
331reputation
123kreached
7answers
0questions
Github Skills (46)
genetics10
genes10
genetic10
proteins10
candidate9
medical9
mutation9
visualize8
clustering-algorithm8
bam7
bioinformatics7
doi7
bcftools7
ubuntu6
pip6
Programming languages (4)
Github contributions (5)
cmbi/metadome
May 2017 - Oct 2022
MetaDome is aimed at professionals in the (bio-)medical field of human genetics who wish to visualize the position of their mutation of interest in the context of general population-based genetic variation and provide detailed information of pathogenic variants found across homologous domain positions.
Contributions:1 release, 921 commits, 7 PRs in 5 years 6 months
positionvisualizemedicalpathogenicitywish
laurensvdwiel/SpatialClustering
Jun 2020 - Jul 2022
The spatial clustering algorithm used for the publication "Spatial Clustering of De Novo Missense Mutations Identifies Candidate Neurodevelopmental Disorder-Associated Genes" (https://doi.org/10.1016/j.ajhg.2017.08.004)
Contributions:6 commits, 1 PR, 9 pushes in 2 years 1 month
doigeneticscandidatespatialspatial-clustering
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