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Marta Fiocco, PhD
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 January 2025.
Marta Spreafico, PhD
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 January 2025.
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, 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, 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.
Yilin Jiang, MSc
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.
Yuan Liu, MSc
Yuan Liu, MSc
Yuan Liu is a PhD candidate at the Mathematical Institute of Leiden University, supervised by Marta Fiocco and Marta Spreafico
He will work on the PACT-ES project, which aims to employ advanced medical statistics methodology to develop a novel Personalised Approach to Chemotherapy Treatment for Ewing’s Sarcoma (PACT-ES). He will help with investigating the longitudinal relationship between dose-reductions/delays in chemotherapy and multiple side effects, and their impact on survival outcomes.
Tianjiao Yan, MSc
Tianjiao Yan, MSc
Tianjiao Yan is a PhD candidate at the Mathematical Institute of Leiden University, supervised by Marta Fiocco and Marta Spreafico.
With a background in mathematics, particularly in probability and statistics, Tianjiao is passionate about both the theoretical and applied aspects of the field. Her goal is to bridge the gap between theoretical concepts and real-world applications, improving the practical usage of mathematical tools.
Currently, Tianjiao is working on methodology development and statistical analysis for the INDICATES project, which applies advanced statistical methods to support both the multidisciplinary team and patients.
Sophia van Goor, MSc
Sophia van Goor, MSc
Sophia van Goor is a PhD candidate at the Mathematical Institute of Leiden University, under the supervision of Marta Fiocco and Marta Spreafico.
In her research, she will compare causal machine learning methods with causal survival methods, to clarify their relative strengths for guiding precision therapeutic decision-making in sarcoma care and to establish rigorous strategies for evaluating predictive performance in rare cancer settings. The developed methods will be applied to Ewing sarcoma as part of the PACT-ES project.
Henk van der Pol, MSc
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, 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.
Milan van Meekeren, MD
Milan van Meekeren, MD
Milan van Meekeren is a PhD candidate at the Department of Radiotherapy at the Leiden University Medical Center and the Netherlands Cancer Institute (NKI).
His research aims to explore the neo-adjuvant combination of pazopanib and radiotherapy for soft tissue sarcoma (STS), ultimately aiming to improve the management of these rare tumors. He works under the supervision of prof. dr. R.L.M. Haas (radiotherapy), prof. dr. A.J. Gelderblom (medical oncology), prof. dr. M. Fiocco (applied mathematics) and dr. N. Steeghs (medical oncology).
Rixt Bruinsma, MD
Rixt Bruinsma, MD
Rixt Bruinsma is a PhD candidate at the Princess Maxima Center for Pediatric Oncology (Utrecht). Her research focusses on the pathological diagnosis of solid, pediatric tumors, with special reference to diagnostics and molecular genetics of neuroblastomas. The goal of her research is to evaluate and improve diagnostics of solid pediatric tumors in general, and to improve risk-stratification of neuroblastomas, ultimately leading to better outcomes for these patients. She works under supervision of Prof. dr. R.R. de Krijger (pathologist), Prof. dr. M. Fiocco (medical statistician), dr. A.F.W. van der Steeg (pediatric surgeon) and dr. L.A. Kester (Clinical Molecular Biologist).
Paulien Raymakers-Janssen, MSc
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.
Lieke van Zogchel, MD
Lieke van Zogchel, MD
Lieke van Zogchel is a PhD candidate at the Princess Maxima Center for Pediatric Oncology (Utrecht) & Sanquin Research (Amsterdam) and a resident in pediatrics at Radboud University Medical Center (Nijmegen).
Her research focusses on liquid biopsies in pediatric solid tumors. Within this project, she investigates the potential of various RNA and DNA based assays in blood and bone marrow of patients with neuroblastoma. During her PhD, she initiated multiple studies which formed a steppingstone for the use of liquid biopsies in several other pediatric solid tumors as well.
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