Dr Daryl Cheng is a consultant paediatrician and clinical informatician at The Royal Children’s Hospital (RCH). He is engaged in systems thinking, innovation and design work through appointments as a digital health consultant at the Melbourne Children’s Campus Centre for Health Analytics and RCH Electronic Medical Record Team.

Nicki is a second year PhD Candidate and Research Officer at the University of Sydney. She holds a Bachelor of Science (Honours) and a Graduate Certificate in Interaction Design. Her PhD research focuses on improving clinicians' acceptance and use of clinical decision support systems over time.

Dr Jay Patel is a Dentist and an Assistant Professor of Health Informatics at the College of Public Health, Temple University. This work was performed when he was a PhD student at Indiana University. His research interest is in utilizing EHR data to develop prediction models for early diagnosis/prevention.

Mel is currently a researcher looking at data quality in EHRs for reuse in predictive modelling. She has worked as a CHIO in musculoskeletal healthcare and is a chiropractor. Her passion is improving practitioner outcomes through digital tools. Mel recently received the HIMSS Future50 award in the clinical leadership category.

Bachelor in computer engineering and information technology, Master in health informatics, PhD candidate at Vrije Universiteit Brussel (VUB), Belgium. I am a happy African -Rwandan woman with great interpersonal skills. Highly motivated, enterprising, and accustomed to working towards the development of digital health in Africa.

Mattias Seth has a double degree in biomedical engineering and risk management from Lunds University of Technology. Currently, he is enrolled as a PhD student at Chalmers University of Technology in the Remote and prehospital Digital Health group. He focuses on research questions concerning interoperability, data fusion and artificiell intelligence.

Dr Jay Patel is a clinician and an Assistant Professor of Health Informatics at the College of Public Health, Temple University. His research interest is in clinical informatics especially in utilizing electronic health record data to develop prediction models and learning health systems for early diagnosis and prevention.

Anuwat Pengput is a PhD student in Biomedical Informatics at the Department of Biomedical Informatics, University at Buffalo, The State University of New York. His current project focuses on biomedical ontology development for cholangiocarcinoma and ontology-based data analysis. He is also interested in public health informatics and epidemiology research.

Polina Talapova, MD, PhD, Assistant Professor at Kharkiv National Medical University, is a Pathologist and Healthcare Data Engineer with domain expertise in OMOP CDM. As the Lead of the SciForce Medical Team, Polina specializes in data analysis, medical terminology, and medical ontology engineering. She has been an active OHDSI member since 2017, contributing to cutting-edge research and advancements in healthcare data analysis.

Anna Ostropolets is a clinician with more than 7 years of experience working with healthcare data to improve patient outcomes. Her work focuses on addressing bias in observational data at the multiple stages of evidence generation from building medical ontologies to phenotyping patients of interest to delivering new on-demand evidence to clinicians, researchers and policymakers. She has been an active collaborator of the OHDSI Vocabulary Team since its inception and is now currently leading the OHDSI Standardized Vocabularies process improvement initiative.