Team & Partners
Combining scientific expertise with real-world experience
Our team brings together expertise in mathematical and statistical modelling, biomedical research, software development and scientific project management. Together with our academic and industry partners, we translate advanced research into practical solutions for complex biomedical data.
Meet the team
Ton Coolen
Founder & CEO NL
PhD Theoretical Physics
Theodore Nikoletopoulos
CSO NL
PhD Applied Mathematics
Enrico Schmitz
Data Scientist
MSc Data Science
Dzeneta Mahmutovic
Marketing, Communications and Project Manager
MSc Medical Biology
Agustin Rost
Scientific software developer
PhD Astronomy
Mark Rowley
CEO UK
PhD Applied Mathematics
Fabrizio Antenucci
CSO UK
PhD Theoretical physics
Scientific Expertise
Expertise across disciplines
Rather than relying on a single discipline, our work combines expertise and techniques from several fields.
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Mathematics & Statistics - Advanced statistical modelling and mathematical theory.
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Theoretical Physics - Statistical mechanical approaches to complex systems and high-dimensional data.
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Biomedical Research - Application of statistical methodology to clinical and biomedical research questions.
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Software Development - Translating scientific methodology into industry standard practical and automated software solutions.
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Science & Project Management - Harvesting scientific innovation via collaboration, communication and real-world implementation.
Partners
Building solutions through collaboration
Our work is powered by collaboration with academic institutions, healthcare organisations, public research organisations and industrial partners. These collaborations allow us to combine scientific expertise with real-world challenges, and accelerate the translation of research into practical applications.
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Research - Developing and validating new mathematical and statistical approaches.
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Application - Applying our methodology to real-world biomedical and clinical challenges.
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Innovation - Working with organisations to translate research into practical software and analytical solutions.
Collaborative Research
From research to application
We collaborate with partners to develop new methodology, validate approaches using real-world and simulated data, and translate these methods into practical analytical solutions.
Scientific Publications
From collaboration to peer-reviewed research
Our scientific collaborations contribute to research published in peer-reviewed journals. Some recent examples are:
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E. Massa, A. Mozeika and A.C.C. Coolen, J. Phys A: Math. Theor. 57 (2024) 125003. Replica analysis of overfitting in regression models for time to event data: the impact of censoring.
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A.L. Davies, A.C.C. Coolen and T Galla, Stat. Meth. Med. Res. 33 (2024) 1836-1858. Delayed kernels for longitudinal survival analysis and dynamic prediction.
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E. Massa and A.C.C. Coolen, J. Phys. Commun. 9 (2025) 055001. Practical debiasing with the Covariant Prior in the proportional regime when p < n.
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​H. Pazira, E.M. Massa, J.A.M. Weijers, A.C.C. Coolen and M.A. Jonker, J. Applied Stats. (2025) doi.org/10.1080/02664763.2025.2511932. Bayesian federated inference for survival models.