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Posts
Contributing code to Stan
Published:
I wrote a blog post about how to contribute code to Stan. This was quite a long process for a noob like me, resulting in a long blog post. In this post, I will guide you through the process of implementing new native distributions in Stan, writing documentation and tests, modifying the Stan compiler, and creating pull requests on GitHub.
Generalized Profiling with Stan
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This post is about implementing the generalized profiling method in Stan. Fitting ODE models to timeseries data can be hard, especially if the data shows signs of process noise that cannot be simply absorbed into the measurement noise. A good example is periodic dynamics, in which the phase drifts with time. The deterministic prediction will in this case get out of phase with the stochastic data.
Bayesian Multi-dimensional scaling (MDS)
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Antigenic cartography maps viruses and sera to a two-dimensional space to visualize their relation and the pace of antigenic drift. As antigens and antibodies are typically very high dimensional objects, special methods to embed them into lower dimensional spaces are required. MDS is one such method. In this post, I show how to implement a Bayesian version of MDS and apply this to influenza data.
How to calculate WBIC with Stan
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In Bayesian statistics, model comparison ideally is based on Bayes factors. However, these are not always easy to compute. For this reason, approximate measures have been developed. One of these measures is the WBIC, which has is similar to the BIC, but is not merely based on a point estimate and is valid for a larger class of models. In this post, I show how to compute WBIC with a Stan model.
portfolio
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publications
Immuno-epidemiological Modeling of HIV-1 Predicts High Heritability of the Set-Point Virus Load, while Selection for CTL Escape Dominates Virulence Evolution
Published in PLOS Computational Biology, 2014
We use a multi-level model of HIV evolution to investigate the effect of within-host selection and host-heterogeneity on virulence evolution.
Recommended citation: van Dorp, CH. et al (2014). "Immuno-epidemiological Modeling of HIV-1 Predicts High Heritability of the Set-Point Virus Load, while Selection for CTL Escape Dominates Virulence Evolution." PLOS Computational Biology. 10(12): e1003899.
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Long-term adaptation of the influenza A virus by escaping cytotoxic T-cell recognition
Published in Scientific Reports, 2016
We investigate T-cell antigenic drift of influenza.
Recommended citation: Woolthuis, RG et al (2016). "Long-term adaptation of the influenza A virus by escaping cytotoxic T-cell recognition." Scientific Reports. 6: 33334.
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Infectious reactivation of cytomegalovirus explaining age- and sex-specific patterns of seroprevalence
Published in PLOS Computational Biology, 2017
We fit PDE transmission models to CMV antibody titer data to investigate the effect of reactivation on infectiousness.
Recommended citation: van Boven, M et al (2017). "Infectious reactivation of cytomegalovirus explaining age- and sex-specific patterns of seroprevalence." PLOS Computational Biology. 13(9): e1005719.
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Estimating Transmission Parameters for Respiratory Syncytial Virus and Predicting the Impact of Maternal and Pediatric Vaccination
Published in The Journal of Infectious Diseases, 2020
We fit age-structure transmission models to multiple RSV data streams and use the fitted models to investigate the impact of pediatric vaccination.
Recommended citation: van Boven, M et al (2020). "Estimating Transmission Parameters for Respiratory Syncytial Virus and Predicting the Impact of Maternal and Pediatric Vaccination." The Journal of Infectious Diseases. 222(Supplement_7): S688–S694.
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Models of SIV rebound after treatment interruption that involve multiple reactivation events
Published in PLOS Computational Biology, 2020
We derive a probability distribution for the time to SIV rebound after ART interruption that takes into account the possibility that multiple latently infected cells can reactivate and contribute to viral recrudescence.
Recommended citation: van Dorp, CH. et al (2020). "Models of SIV rebound after treatment interruption that involve multiple reactivation events." PLOS Computational Biology. 16(10): e1008241.
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Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic
Published in Nature Communications, 2021
We use an age-structured transmission model fit to data to study the effect of school closure on SARS-CoV-2 spread in 2020.
Recommended citation: Rozhnova G et al (2021). "Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic." Nature Communications 12, 1614.
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A Participant-Derived Xenograft Model of HIV Enables Long-Term Evaluation of Autologous Immunotherapies
Published in Journal of Experimental Medicine, 2021
Using a humanized mouse model of an HIV infection, we explore immunotherapies that enhance the CD8+ T-cell response using an N-803 nanogen.
Recommended citation: McCann CD (2021). "A Participant-Derived Xenograft Model of HIV Enables Long-Term Evaluation of Autologous Immunotherapies." Journal of Experimental Medicine. 218(7): e20201908.
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Controlling the pandemic during the SARS-CoV-2 vaccination rollout
Published in Nature Communications, 2021
We make projections using a model fit to Portugese SARS-CoV-2 data to assess if and how non-pharmaceutical interventions can be lifted during planned mass-vaccination campaigns.
Recommended citation: Viana J et al (2021). "Controlling the pandemic during the SARS-CoV-2 vaccination rollout." Nature Communications 12, 3674.
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Estimating the strength of selection for new SARS-CoV-2 variants
Published in Nature Communications, 2021
We use isotonic regression, hierarchical logistic regression and stochastic modeling to estimate the fitness advantage of SARS-CoV-2 variants in different regions.
Recommended citation: van Dorp CH. et al (2021). "Estimating the strength of selection for new SARS-CoV-2 variants." Nature Communications 12, 7239.
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Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron
Published in Virus Evolution, 2022
We estimate region-specific selective advantages of the Omicron variant of SARS-CoV-2 using renewal equation models, genetic data and COVID-19 case counts.
Recommended citation: van Dorp CH. et al (2022). "Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron." Virus Evolution. 8(2): veac089.
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Numerical methods and hypoexponential approximations for gamma distributed delay differential equations
Published in IMA Journal of Applied Mathematics, 2022
Integration schemes for delay-differential equations, and a relaxation of the linear chain trick that is useful for estimating the shape parameter of the Gamma distribution.
Recommended citation: Cassidy T. et al (2022). "Numerical methods and hypoexponential approximations for gamma distributed delay differential equations." IMA Journal of Applied Mathematics. 87(6): 1043–1089.
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Estimation of introduction and transmission rates of SARS-CoV-2 in a prospective household study
Published in PLOS Computational Biology, 2024
Bayesian analysis of a prospective SARS-CoV-2 household study
Recommended citation: van Boven, M. et al (2024). "Estimation of introduction and transmission rates of SARS-CoV-2 in a prospective household study." Plos Computational Biology. 20(1): e1011832.
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Induction of durable remission by combination immunotherapy in SHIV infected, ART-suppressed macaques.
Published in Science, 2024
Combination treatment with an IL-15 superagonist and bNAbs can lead to SHIV control after ART interruption.
Recommended citation: Lim, SY. et al (2024). "Induction of durable remission by combination immunotherapy in SHIV infected, ART-suppressed macaques." Science. 383,1104-1111.
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The dynamics and longevity of circulating CD4+ memory T cells depend on cell age and not the chronological age of the host
Published in PLOS Biology, 2024
T cell data from mice with chimeric bone marrow are analyzed with Bayesian ODE models.
Recommended citation: Bullock, ME. et al (2024). "The dynamics and longevity of circulating CD4+ memory T cells depend on cell age and not the chronological age of the host." Plos Biology. 22(8): e3002380.
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Retrospective evaluation of school-related measures on pre-vaccination transmission dynamics of SARS-CoV-2.
Published in BioRxiv, 2025
We retrospectively compare school-closure scenarios for the SARS-CoV-2 pandemic in Portugal.
Recommended citation: Canfora B. et al. (2025). "Retrospective evaluation of school-related measures on pre-vaccination transmission dynamics of SARS-CoV-2." BioRxiv.
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Tissue resident memory CD4+ T cells are sustained by site-specific levels of self-renewal and continuous replacement
Published in eLife, 2025
We use mathematical models to identify progenitors and turnover rates of TRM in skin and gut lamina propria
Recommended citation: Chandler J. et al (2025). "Tissue resident memory CD4+ T cells are sustained by site-specific levels of self-renewal and continuous replacement." eLife.
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A variational deep-learning approach to modeling memory T cell dynamics.
Published in PLOS Computational Biology, 2025
We fit ODE models to single-cell flow data to infer memory T cell loss and differentiation
Recommended citation: van Dorp, CH. et al. (2025). "A variational deep-learning approach to modeling memory T cell dynamics." PLOS Computational Biology. 21(7): e1013242.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
SMB workshop: Stan for Immunobiology
Workshop, SMB, Immunobiology and Infection, 2021
For the Immunobiology and Infection subgroup of the Society for Mathematical Biology (SMB), I taught a workshop for attendees interested in learning to use Stan.
CIME Lecture Notes (work in progress)
Lecture notes, Springer, Lecture Notes in Mathematics, 2025
Together with Dr. Ganna Rozhnova (Utrecht University), I am currently working on a chapter for the upcoming "CIME Lecture Notes Mathematical modeling for epidemiology: analysis, simulation and forecasting"