Present Members
Marta Fiocco, PhD
Marta Fiocco is Professor at the Mathematical Institute of Leiden University and at the Department of Biomedical Data Sciences at the Leiden University Medical Center. She is also Professor at Princess Máxima Center for Pediatric Oncology (Utrecht) and resident faculty member at the European Organization for Research and Treatment of Cancer, where she teaches the course "Clinical Trial Statistics for Non Statisticians".
Marta's research addresses different topics: spatial stochastic process, complex models for survival data, meta-analysis, causal modelling, and performance indicators.
She has about 20 years of experience working as statistician in the medical field with focus on modelling oncological processes. She is currently PI in several projects where she is responsible for the statistical aspects (from statistical design to data analysis) and develops methodologies tailored to the clinical needs.
Marta is the project leader of the INDICATES study (funded by KWF) and the PACT-ES project (funded by KiKa) starting in fall 2024.
Marta Spreafico, PhD
Marta Spreafico is Assistant Professor at the Mathematical Institute of Leiden University and researcher at the Department of Biomedical Data Sciences at the Leiden University Medical Center.
Her research is centred on statistical modelling for oncological patients, both from a methodological and applied point of view. She is focusing on causal inference and marginal structural models for studying the causal effect of doses modification on patients' survival in presence of latent accumulation of toxicity due to chemotherapy. Her research interests include: statistical modelling, biostatistics, survival analysis, longitudinal data, causal inference, cancer trials, pharmacoedpidemiology.
Marta is the methodological Principal Investigator of the INDICATES study (funded by KWF) and Co-investigator of the PACT-ES project (funded by KiKa) starting in fall 2024.
Doctoral Thesis: Spreafico M (2022, October 12). Statistical modelling of time-varying covariates for survival data
Marta's homepage | Marta’s LinkedIn page | Marta’s Google Scholar profile
Hein Putter, PhD
Hein Putter is Professor in the Department of Biomedical Data Sciences at the Leiden University Medical Center (LUMC).
His research interests include: statistical genetics, dynamical models in HIV and survival analysis—in particular competing risks and multi-state models. He collaborates closely with the Department of Surgery and the Department of Oncology of the LUMC, and with international organisations like the European Organisation for the Research and Treatment of Cancer and the European Group for Blood and Marrow Transplantation. He was one of the initiators of the IBS Channel Network.
Together with Hans van Houwelingen he wrote the book "Dynamic Prediction in Clinical Survival Analysis", which appeared in December 2011 at Chapman & Hall.
Mirko Signorelli, PhD
Mirko Signorelli works as Assistant Professor at the Mathematical Institute of Leiden University, where he teaches courses for the Master in Statistics and Data Science and for the Bachelor in Wiskunde (Mathematics).
His research is centered on the development of new statistical models for the analysis of dependent data and high-dimensional data, focusing in particular on longitudinal data, survival data, and complex networks.
Mirko is also interested in the application of statistics to genetics and medicine. He collaborates with biologists and clinicians from the Leiden University Medical Center on research projects aimed at the identification of prognostic biomarkers for Duchenne and Becker muscular dystrophy.
Vera Arntzen, MSc
Vera Arntzen is a PhD candidate at the Mathematical Institute of Leiden University, with Marta Fiocco (promotor). She is particularly interested in research at the cross-section between mathematics and infectious diseases, i.e. statistical methods for infectious disease and mathematical modelling for the spread of an infection. Currently, she focuses on (non)parametric estimation methods for incubation time (infection to symptom onset) and latency time (infection to start of infectiousness) of SARS-CoV-2 (Covid-19).
The project is a collaboration with Ronald Geskus (Oxford University Clinical Research Unit, Vietnam, co-promotor) and Marc Jit (London School of Hygiene and Tropical Medicine, United Kingdom).
Daniel Gomon, MSc
Daniel Gomon is a PhD candidate at the Mathematical Institute of Leiden University. Daniel has a background in Astronomy, Mathematics and Data Science.
Across various domains, Daniel's research spans several areas.
He's actively engaged in advancing Cumulative Sum (CUSUM) charts and their application in the monitoring of survival outcomes. His recent development, the Continuous time Generalized Rapid Response CUSUM, can be implemented by using the publicly available success software package on CRAN.
In parallel, he explores functional principal component analysis techniques as a viable alternative to mixed/joint modelling methods. The aim of this project is to dynamically predict survival outcomes from longitudinal data.
Simultaneously, he has recently started researching multi-state models in combination with interval censored observations. In particular, his interests lie in the non-parametric estimation of the underlying transition intensities and in investigating the dangers of prevailing techniques in this domain.
Yilin Jiang, MSc
Yilin Jiang is a PhD candidate at the Mathematical Institute of Leiden University, supervised by Marta Fiocco and Harm van Tinteren. In the mean time, she also works as a biostatistician at Princess Máxima Center for Pediatric Oncology (Utrecht). Before this, she worked as a statistician at IQVIA in Amsterdam.
With her past working experience, Yilin is specialised in evidence synthesis for real world data, clinical trial design and survival analysis. Her research interests include survival analysis, cure analysis, multi-state model and causal inference.
For the moment, Yilin is dedicated to integrating mixture cure analysis into multi-state model, exploring both the methodological aspects and its application in pediatric oncology patients.
Marta Cipriani, MSc
Marta Cipriani is a PhD candidate at the Mathematical Institute of Leiden University and the Department of Statistical Science of Sapienza University of Rome.
Her research focuses on the development of innovative methodologies in survival analysis and clinical trials. Marta's work covers a wide variety of topics, ranging from the use of pseudo-observations to recover censored data in survival analyses to the exploration of flexible parametric approaches for generating synthetic patient cohorts.
Currently, she is working on mixture cure models, with a specific focus on multiple imputation techniques for handling missing covariates in such models. She is particularly interested in the application of these models to childhood oncology.
Ceder van den Bosch, MD
Ceder van den Bosch is a PhD candidate at the department of pediatric surgery of Princess Máxima Center for Pediatric Oncology (Utrecht). The aim of her research is to increase the quality of life of pediatric oncology patients by reducing central line associated complications such as infections, thromboses, post-operative pain and scar tissue formation.
She is currently responsible for our research project, the CATERPILLAR-study, funded by KWF.
Paulien Raymakers-Janssen, MSc
Paulien Raymakers-Janssen is a PhD candidate at the Princess Maxima Center for Pediatric Oncology (Utrecht) and the Wilhelmina Children’s Hospital (Utrecht) under the supervision of Prof. dr. M.M. van den Heuvel-Eibrink and Prof. dr. M. Fiocco.
The aim of her research is to get insight in the epidemiology and outcome of acute kidney injury in paediatric cancer patients admitted to the paediatric intensive care and her second aim is to investigate the incidence of acute kidney injury in this population and which nephrotoxic medications are risk factors for acute kidney injury during their cancer treatment. The results of these clinical studies may lead to more awareness and a start to early recognizing and managing acute kidney injury.
Richard Evenhuis, MD
Richard Evenhuis is a PhD candidate at the Department of Orthopaedic Surgery at the Leiden University Medical Center since January 2022. He works under the supervision of Prof. M.A.J. van de Sande (orthopaedic surgeon), Prof. M. Fiocco (medical statistics), and Dr. M.P.A. Bus (resident orthopaedic surgery).
He has a special interest in orthopaedic oncological research and has ambition to specialize in orthopaedic surgery. His research focuses on diagnostics and prognostics in patients with (malignant) bone tumours. Moreover, the aim of his PhD is to set up an international research collaboration on MUTARS mega-prosthesis used for the reconstruction of osseous defects after resection of a bone tumour. Main topics of the research are to evaluate implant survival, complications, and identifying risk factors for complications and related implant revision. The ultimate goal is to enhance the quality of oncological orthopaedic implants and elevate the standards of orthopaedic oncological care.
Henk van der Pol, MSc
Henk van der Pol is a PhD candidate at the Leiden University Medical Center (LUMC) supervised by Marta Fiocco and Hans Gelderblom.
His main work will be to work on the PRIME-ROSE project which is a large European study that uses DRUP-like trials. Specifically, I will help with aggregating the data from all the ongoing DRUP-like trials in Europe and building synthetic control arms for statistical testing.
Florine Foppele, MD
Florine Foppele is a PhD candidate at the Department of Radiotherapy at the Leiden University Medical Center (LUMC) and at the Netherlands Cancer Institute (NKI). The research aims to explore the efficacy of hypofractionation in managing soft tissue sarcomas (STS), ultimately aiming to improve patient outcomes and quality of life.
Florine Foppele is currently leading the SCOPES study, our research project supported by KWF funding.
