Saskia Litière
Saskia LitièreChair

Head of Statistics Department, EORTC Headquarters
Brussels, Belgium

Saskia Litière obtained her degree of Applied Mathematics at the University of Ghent in 2001. In that same year she started her career as a statistician in the Center for Statistics (Censtat) at the Hasselt University. Over a period of nine years she was involved in the reorganization of the MSc in Applied Statistics program, she obtained the degree of MSc in Biostatistics, she worked as statistical consultant, she was involved in the teaching of several Bachelor and Master level courses in statistics and she successfully defended her PhD thesis on the topic of misspecification in generalized linear mixed models. In September 2010 she joined the EORTC statistics department, since 2020 as Head of the Statistics Department. She has worked with the EORTC Breast Cancer Group and is currently the statistician of the EORTC Soft Tissue and Bone Sarcoma Group. She is currently one of the course directors of the EORTC-ESMO-AACR Workshop on Methods in Clinical Cancer Research and she is the statistician of several non-EORTC IDMCs (Independent Data Monitoring Committee). She has been working with Jan Bogaerts on RECIST for more than 10 years and is involved in the ongoing updates of RECIST.

Murielle Mauer
Murielle MauerCo-Chair

Lead Statistician, Statistics Department, EORTC Headquarters, Brussels, Belgium

Murielle Mauer has a PhD in Pure Mathematics. She was Assistant at the Faculty of Science at the University of Liège from 1995 to 2001 and researcher in the Department of Biostatistics and Data Processing at the University Hospital of Liège from 2001 to 2003. She got a Master degree in Biostatistics at Limburgs Universitair Centrum in 2003. She got practical experience of the design, conduct and analysis of clinical trials in Bristol-Myers Squibb pharmaceutical company from 2003 to 2006. At EORTC, she worked as a research fellow in the Quality of Life Unit. Since 2007, she is the Biostatistician in charge of providing statistical support to the EORTC Gastro-intestinal Tract Cancer Group and to the EORTC Elderly Task Force.

Xavier Paoletti
Xavier PaolettiCo-Chair

Professor of Biostatistics, Université de Versailles – St Quentin (UVSQ) & Institut Curie, St-Cloud, France

Xavier Paoletti is a professor of biostatistics at the University of Versailles St Quentin and at the Institut Curie, a cancer center, in Paris, France; he is a member of the INSERM U900 research unit dedicated to the development of statistical methods for clinical trials integrating biomarkers.

After a phd on early phase clinical trials, Xavier had several positions at the EORTC, at Bichat university hospital then at the French NCI and finally in two leading cancer centers, Institut Curie and Gustave Roussy.

His main interests are in the methods for early phase trials with a particular focus on pediatric oncology trials, the design of trials evaluating personalized medicine and the validation of surrogate endpoints. He co-coordinates the GASTRIC collaboration for performing meta-analyses in gastric cancers and he coordinates the gynecology cancer inter group (GCIG) meta-analysis with Dr Ros Glasspool for performing meta-analyses in ovarian cancer. He is a member of the Curie institutional Ethics Committee.

Jan Bogaerts
Jan BogaertsSpeaker

Director, Methodology Direction, EORTC Headquarters,
Brussels, Belgium

Jan Bogaerts earned his degree in mathematics (1986) and his PhD in mathematics (1993) at the Free University of Brussels (Belgium). In 1988 he also earned a degree in management at the Free University in Brussels. He joined BMS in 1993 as statistician. Later, as Associate Director Statistics he worked on several drugs in oncology, including several FDA and EMEA submissions. In 2004 he joined the EORTC as statistician of the EORTC Breast Cancer Group. He now has the role of Methodology Director. He contributed to the development of RECIST and is on the RECIST Steering Committee. Another key role of his is statistician of the MINDACT trial EORTC 10041 – BIG 3-04 which will report the primary results in 2016. Current statistical interests include the use of and methodological issues around Progression Free Survival, alternative ways to use changes in tumour measurements as predictive markers, and the correct evaluation of the contribution of new markers to existing prognostic risk evaluation. He also has a high interest in closing the gap between clinical trials and day-to-day practice, and in increasing scientific learning from merging multiple data sources.

David Cairns
David CairnsSpeaker

Associate Professor of Statistics in Late Phase Cancer Clinical Trials
CTRU, Leeds University, Leeds, United Kingdom

David is Associate Professor of Statistics in Late Phase Cancer Clinical Trials and the Director of Late Phase Trials in the Cancer Division at CTRU. David joined CTRU as a Principal Statistician working across the Cancer Division and Comprehensive Health Research Division in July 2013.

David was previously Senior Research Fellow in Biostatistics at the Leeds Institute of Cancer and Pathology where he worked in high-dimensional data analysis related to a number of translational projects in genetics, proteomics and biomarker discovery and validation. David was the recipient of an MRC Career Development Award in Biostatistics to undertake research in ‘Novel statistical methods for the design and analysis of proteomic experiments for biomarker discovery’.

Corneel Coens
Corneel CoensSpeaker

Lead Statistician, Statistics Department, EORTC Headquarters, Brussels, Belgium

Corneel Coens is currently working as a statistician at the EORTC Headquarters (Brussels, Belgium). As part of his tasks for the EORTC Quality of Life Department, he is involved in various aspects of Quality of Life in many oncological clinical trials ranging from instrument validation to design, analysis and reporting of QoL endpoints. He is also the designated study statistician for the EORTC Gyneacological Cancer Group since 2001. He is a regular contributor for various EORTC educational courses and is course director for the Joint FECS/AACR/ASCO Workshop “Methods in Clinical Cancer Research”.

Laurence Collette
Laurence ColletteSpeaker

Principal Statistician
IDDI, Louvain-la-Neuve, Belgium

Dr Laurence Collette PhD, MSc is former head of the statistics department of the EORTC Headquarter that she joined in 1995. She obtained a Master in Mathematics from Catholic University of Louvain-la-Neuve (BE) and a Masters in Biostatistics from Hasselt University (BE) and a PhD from Rotterdam University (NL) on surrogate endpoints in prostate cancer. Her research interests include biomarker-based treatment selection, interim trial monitoring and innovative trial designs, with a focus on urological malignancies and on non-drug interventions (irradiation, surgery), including quality assurance. To date, she co-authored over 150 peer-reviewed articles in cancer clinical trials and related methods. She also lead the EORTC Data Sharing Policy and the EORTC Publication and Disclosure Policy. She was member of a number of independent data monitoring committees and coordinated the activities of the IDMC for the EORTC. She organised methodology courses to train non-statisticians to the methodology of cancer research.

Marta Fiocco
Marta FioccoSpeaker

Professor of Applied Mathematics, Mathematical Institute Leiden, The Netherlands

Marta Fiocco holds a PhD in Mathematical Statistics and is currently the head of the DASPO group on Data Analysis and Survival for Personalised Oncology at the Mathematical institute. DASPO also involves the Leiden University Medical Center, where Marta holds a part-time appointment, and the Princes Máxima Centre for Child Oncology in Utrecht.
Its research focuses on prognostic models for oncology data. The group develops new methodologies for inference on the effectiveness of therapeutic regimens in fighting cancer, and applies and adapts existing statistical techniques to an oncology setting.
Their models form an important tool in personalised medicine, where tailored treatment of cancer patients avoids undertreatment of high-risk patients and overtreatment in low-risk patients.

Catherine Fortpied
Catherine FortpiedSpeaker

Lead Biostatistician, Statistics Department, EORTC Headquarters, Brussels, Belgium
Catherine Fortpied obtained a Master Degree in Statistics in 1997. After 10 years of experience in pharmaceutical industry as clinical trial statistician in allergy-immunology and central nervous system therapeutic areas, she joined the EORTC ((European Organisation for Research and Treatment of Cancer) in 2008 as senior statistician in charge of the design and analysis of clinical studies in Hodgkin Lymphoma and Head and Neck Cancer. Since 2018 she is lead statistician and has also managerial responsibilities within the Statistics department of the EORTC.

Michal Kicinski
Michal KicinskiSpeaker

Statistician, Statistics Department, EORTC Headquarters,
Brussels, Belgium

Michal Kicinski earned his Master of Science in Statistics, Specialization biostatistics, with great distinction from KU Leuven in 2011, Belgium, and his PhD in Science from Hasselt University, Belgium in 2015. As a researcher at Hasselt University, Michal conducted studies in the field of epidemiology, worked as a statistical consultant, performed research on methods to detect publication in meta-analysis, and investigated the size of publication bias in published meta-analyses. Michal joined the EORTC after obtaining his PhD. As a fellow, he worked on studies assessing the long-term outcomes among survivors of Hodgkin lymphoma and childhood ALL, studies comparing outcomes of patients treated in and outside clinical trials, a phase III melanoma trial comparing adjuvant pembrolizumab with placebo, and analyses of prognostic and predictive factors in childhood ALL and adult AML. Currently, Michal works as a biostatistician for the EORTC Leukemia, Children Leukemia, and Melanoma groups. In addition, he is involved in a study on methods to deal with crossover in analysis of overall survival and a study of methods to compare treatments when the hazards are non-proportional.

Catherine Legrand
Catherine LegrandSpeaker

Professor at the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), Université Catholique de Louvain (UCL),
Louvain-la-Neuve, Belgium

Catherine Legrand obtained a Master Degree in Mathematics from the Université Libre de Bruxelles (ULB) in 1998. She worked for 7 years at the European Organization for Research and Treatment of Cancer (EORTC) became the primary statistician of the EORTC Lung Cancer Group. She was also a member of the Treatment Outcome Research Group, the Elderly Task Force, and coordinator of the EORTC Independent Data Monitoring Committee. In parallel, she completed a PhD in 2005 at the Center for Statistics, Hasselt University, in the field of survival analysis (frailty models). Early 2006, she started working as biometrician at Merck Sharp & Dohme (MSD) where she was involved in the design and analysis of clinical trials in respiratory diseases. Since September 2007, she Professor at the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA-LIDAM) of the Université catholique de Louvain (UCLouvain). Her area of research includes survival data analysis and design of clinical trials. Along with these professional experiences, she co-authored more than 80 papers in peer-reviewed clinical and statistical journals and is also Associate Editor for Biometrics.

Steven MacLennan
Steven MacLennanSpeaker

Research Fellow,Academic Urology Unit, the University of Aberdeen, Scotland, United Kingdom

My research involves clinical trials, as well systematically reviewing, critically appraising and synthesising intervention effectiveness data, and incorporating these forms of evidence in clinical practice guideline (CPG) recommendations using transparent evidence-to-decision methods. I also apply mixed methods in developing core outcome sets, and in consensus projects to assist CPG panels to give interim guidance in the face of no evidence, low quality evidence or conflicting evidence. Another arm of my research is directed toward addressing evidence gaps whereby interventions underpinned by high quality evidence and strong recommendations in CPGs are not routinely followed – this again requires a mixed methods approach to investigate practice patterns, barriers and facilitators to practice, and developing knowledge transfer interventions. I am a member of the European Association of Urology’s (EAU) methodology committee which oversees and delivers the EAU’s systematic review and CPG development training programmes, and a founding member of the EAU’s IMAGINE group, which aims to tackle evidence-to-practice gaps in urology.

Stefan Michiels
Stefan MichielsSpeaker

Director Oncostat Team CESP, INSERM U1018, Department of Biostatistics and Epidemiology, Institut Gustave Roussy,
Villejuif, France

Stefan Michiels is Head of the Office of Biostatistics and Epidemiology at Gustave Roussy, and Head of Oncostat, CESP, INSERM U1018, University Paris-Saclay in Villejuif, France. His areas of expertise are clinical trials, meta-analyses, biomarkers and clinical prediction models. Stefan is the currently the chair of the biostatisticians at Unicancer, a French collaborative cancer clinical trials group.
Stefan holds a PhD in Biostatistics from the School of Public Health at the University Paris-Sud and Master Degrees in Statistics and in Applied Mathematics from the University of Leuven. His previous positions include the Université Libre de Bruxelles- Institut Jules Bordet (Belgium), the National Cancer Institute (France) and the University of Leuven (Belgium). Stefan has edited with Susan Halabi the book “Textbook of Clinical Trials in Oncology – A Statistical Perspective“ and has authored above 200 peer-reviewed publications (http://www.publicationslist.org/stefan.michiels). He is currently member of the editorial board of Annals of Oncology, NPJ Breast Cancer and Cancer Prevention Research and performs regular statistical reviews for the Lancet family of journals.

Anouk Neven
Anouk NevenSpeaker

Biostatistician, Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Luxembourg, Luxembourg

Anouk Neven holds a Master degree in Mathematics that she obtained at the Université Libre de Bruxelles (2012). After receiving her master’s degree, she worked as a teacher in mathematics and statistics in a secondary school in Luxembourg. She joined the EORTC in 2017, as a fellow in biostatistics and became a full time biostatistician supporting the Prostate Cancer Group one year later. Since October 2021, she works as a biostatistician at the Luxembourg Institute of Health within the Competence Center for Metholodogy and Statistics.

Coralie Poncet
Coralie PoncetSpeaker

Senior Statistician, Statistics Department, EORTC Headquarters, Brussels, Belgium

Coralie Poncet obtained Master’s degree in Engineering in agronomics and life sciences from AgroParisTech in France in 2007. She also earned a degree in quantitative epidemiology and statistical methodology. She worked as a statistician in the pharmaceutical industry from 2008 to 2016. She was involved in pharmaco-epidemiological studies and supported HTA submissions, mostly in rheumatology and immuno-oncology therapeutic areas. She joined the EORTC in 2017, as a senior statistician, providing support for the design and analysis of clinical trials of the breast Cancer Group.

Matthew Sydes
Matthew SydesSpeaker

Senior Scientist and Statistician, MRC Clinical Trials Unit at UCL, London, United Kingdom

Matt is responsible for co-leading the unit’s Trial Conduct Methodology programme with the Unit’s Director, Max Parmar. This work is to develop evidence-based ways to improve how clinical trials are run.
Particular areas of interest include: the use of routinely-collected electronic health records (EHR) to support and run trials, with Health Data Research UK; running academic-led trials with a view to regulatory use and submission; proportionate and efficient monitoring of clinical trial; implementation of novel designs into practice, particularly platform / master protocols; better clinical trial data sharing; and communication of trial findings.
Matt teaches on the UCL Institute of Clinical Trials and Methodology’s MSc in Clinical Trials and supervises a number of PhD and MSc students. Matt leads UCL’s short course on Data Monitoring Committees and has served on many IDMCs and TSCs for national and international trials.
Matt chairs the Scientific Committee for ICTMC 2022, the next International Clinical Trials and Methodology Conference, and is on the executive committee for the NIHR-MRC Trials Methodology Research Partnership (TMRP). He sits on several funding panels, including MRC’s Better Methods Better Research.
Matt is 20% seconded to lead the Data-Enabled Trials theme for the BHF Data Science Centre, led by Health Data Research UK.

Thomas Walter
Thomas WalterSpeaker

Full Professor, Mines ParisTech, France

Thomas Walter received his PhD from the Centre for Mathematical Morphology at Mines ParisTech in 2003 in the field of Medical Image Analysis. He then joined the group of Jan Ellenberg at the EMBL Heidelberg, where he developed methods in computer vision and artificial intelligence for computational phenotyping in the context of High Content Screening. In 2012, he joined the Centre for Computational Biology at Mines ParisTech, first as an independent researcher and since 2018 as director. His work focuses on Bioimage Informatics with applications to High Content Screening and Digital Pathology. Since 2021, Thomas Walter is full professor at Mines ParisTech and teaches Deep Learning for Bioimage Analysis. He also holds a chair at the PaRis Artificial Intelligence Research InstitutE (PRAIRIE).