|Scientific Director: Dr John Reynolds|
John obtained his PhD in Statistics, with a Minor in Genetics, from North Carolina State University. His experience lies mainly in the design and analysis of oncology clinical trials (all phases) but his early career experience was gained in the design and analysis of experiments in the biological, food and agricultural sciences.
|Senior Biostatistician: Dr Eldho Paul|
Eldho Paul has been working as a Research Fellow in the School of Public Health and Preventive Medicine since 2008. He has a background in biostatistics and works as a consultant statistician for The Alfred Hospital.
|Senior Biostatistician: Associate Professor Arul Earnest|
Arul Earnest is an Associate Professor with the School of Public Health and Preventive Medicine. His current research interests are in Bayesian spatio-temporal models, time-series analysis, longitudinal data analysis and Registry Science.
|Senior Biostatistician: Dr Lucy Busija|
Lucy has an undergraduate background in psychology, with postgraduate qualifications in applied statistics (Master of Science in Applied Statistics, Swinburne University) and epidemiology (PhD, The University of Melbourne). She specialises in the application of advanced statistical methods to the study of risks, burden, and outcomes of chronic ill health. Her particular area of expertise is in latent variable modelling, including structural equation modelling, item response theory modelling, and latent class analysis. Lucy also has special interest in psychometrics and has lead the development and evaluation of a number of patient reported outcome measures.
|Biostatistician: Dr Catherine Martin|
Catherine has worked as a biostatistician in the School of Public Health and Preventive Medicine since 2015. She has a Masters in Biostatistics and a PhD in Medicine. She has been involved with, and provided biostatistical consultations to, a wide range of research areas in the medical sciences and has experience in study design, data management, safety monitoring and analysis of both RCTs and longitudinal cohort studies. Her primary role is to assist faculty researchers with the design and analysis of clinical studies.
|Professor Andrew Forbes obtained his PhD from Cornell University, USA, in 1990 and has been at Monash University since 1992. His roles include teaching, research and consulting, and he is Head of the Division of Research Methodology within the School of Public Health and Preventive Medicine. His areas of research interest are methods for cluster randomised trials, causal inference techniques applied to epidemiological and clinical research, and interrupted time series.|
|Professor Rory Wolfe has been a biostatistician at Monash University since 2000 and contributes to a wide range of epidemiological, public health and clinical research studies. He has published over 200 peer-reviewed articles. Prof Wolfe obtained his PhD in applied statistics from Southampton University (UK), subsequently did postdoctoral research in statistical methodology for longitudinal studies, and maintains methodological interests across a number of areas including risk prediction models.|
|Associate Professor Stephane Heritier is a biostatistician at Monash University. He obtained his PhD in statistics at the University of Geneva (Switzerland). Stephane has been involved in the design and analysis of large-scale studies, mainly in cardiovascular and renal diseases, neurological and mental health, critical care and injury prevention. His research interests include adaptive designs, cluster randomised trials, survival analysis and robust statistics.|
|Dr Baki Billah coordinates undergraduate and postgraduate biostatistics subjects and his statistical consulting role is principally with HDR students. His main research interests are risk modeling, forecasting and model selection.|
|Dr Jessica Kasza received her PhD in Statistics from the University of Adelaide in 2010, and has been a member of the Biostatistics Unit since 2013. She has particular interests in multiple-period cluster randomised trials, healthcare provider comparison, and causal inference.|
|Mr Sanjeeva Ranasinha has worked at the School of Public Health and Preventive Medicine for over five years as a Research Fellow/Biostatistician, and collaborates and consults with researchers at Monash Health. Sanjeeva's areas of expertise include Multilevel and Longitudinal Modeling, Bayesian statistics and Structural Equation Models.|
|Ms Sarah Arnup has experience in the design and analysis of clinical trials from pilot studies to multicentre randomised trials in hospital and community settings; and data collection and management. Her current research focuses on her PhD work concerning cluster randomised trials with a crossover of interventions at the cluster level.|
|Dr Sam Brilleman is a research biostatistician at Monash University. He received his PhD entitled 'Joint longitudinal and time-to-event models: development, implementation and applications in health research' from Monash University in 2018. His primary research interests are related to survival analysis, longitudinal data analysis, joint longitudinal-survival modelling, Bayesian statistics, and statistical programming.|
|Ms Kim Jachno has a Masters in Biostatistics and has been involved with, and provided biostatistical consultations in a wide range of research areas – study design, data management, monitoring and analysis of both RCTs and longitudinal cohort studies. Prior to working in the biostatistical field, Kim had over a decade of experience working as a Research Scientist in pharmaceutical companies and the CSIRO on a range of drug design and preclinical validation projects.|