Dr. Elisabetta Trinari is a Developmental Pediatrician and Assistant Professor in the Department of Pediatrics, at McMaster University. She holds a master’s in Health Research Methodology and her clinical and research interests are evidence synthesis and clinical trials in Autism, patients with dual diagnosis, and neurogenetic syndromes associated with developmental disabilities.
Epidemiology & Statistical Modelling
Epidemiology is the study of how many people in a given population have a specific condition, what factors are related to its cause, and what treats or controls it. A statistical model is a representation of reality using numbers and other data derived from research. Models can be used to simulate reality. By changing a model using different characteristics, different outcomes for Autistic children could be predicted.
Yun-Ju (Claire) Chen is a postdoctoral fellow in the Department of Psychiatry & Behavioural Neurosciences, under the supervision of Dr. Stelios Georgiades. Her research interests centre around applying cutting-edge quantitative methodology (e.g., structural equation modeling, clustering, item response theory) to improve early detection of Autism and to better understand the heterogeneous manifestations of Autism over time,
Lorraine Hoult is a Clinical Psychometrist at the Ron Joyce Children’s Health Centre in the Autism Program. Her clinical and research interests include genetics of autism, predictors of treatment response and outcome, risks of premature birth, provincial and federal policies, Autism program development and evaluation.
Dr. Ayesha Siddiqua completed her PhD in the Health Research Methodology Program in the Department of Health Research Methods, Evidence, and Impact at McMaster University. For her PhD thesis, Dr. Siddiqua conducted a pan-Canadian study examining the association between neighbourhood socioeconomic disadvantage and developmental outcomes of Autistic children at neighbourhood and provincial/territorial levels using diverse
Paul McNicholas is the (Tier 1) Canada Research Chair in Computational Statistics at the Department of Mathematics and Statistics, McMaster University. His research is in classification and clustering of big, or otherwise tricky, data types.
Dr. Peter Szatmari is a clinician-scientist and an international Autism expert. He has made significant contributions to the field in many areas including diagnosis, measurement, and longitudinal development – all of which led to significant changes in our understanding of Autism as well as the classification of Autism in both the DSM-IV and DSM-5. He
Dr. Stelios Georgiades is the Founder and Co-Director of the McMaster Autism Research Team (MacART), the Director of the Offord Centre for Child Studies, the inaugural holder of the McMaster Children’s Hospital Chair in Autism and Neurodevelopment, and the Co-Founder of the Child Health Specialization in the Bachelor of Health Sciences Program at McMaster University.
Dr. Eric Duku is a member of the Pathways in ASD research team and has expertise in applied statistical and research methodologies, including the analysis of complex survey data and school-based survey research. Dr. Duku’s current research interests include measurement/ methodological challenges and determinants of inequalities in early child development, with particular interests in Autism,
Dr. Joseph Beyene’s interests are in the areas of systematic reviews/meta-analyses, predictive modelling, health technology assessment, and clinical research. Additionally, he is highly interested in exploring the genetic factors relevant to illness and behaviour. His current work focuses on applications of statistical techniques in genetics, pediatric early warning systems, pain management in infants at risk
Dr. Terry Bennett is a child psychiatrist at McMaster Children’s Hospital and an Associate Professor in Psychiatry and Behavioural Neurosciences at McMaster University. She is also the McMaster co-lead of the Pathways in ASD study. Her clinical and research interests include child mental health, neurodevelopmental disabilities, preschool mental health, and the interface between children’s environments,