PhD student interested in natural language processing and machine learning prediction models in health informatics

Annie Bowles is an NLP developer and analyst at the United States Department of Veterans Affairs.

Dr Gráinne Butler is an Irish-trained General Paediatrician, currently undertaking a PhD with the Centre for Health Analytics at RCH Melbourne in their Kidney Exemplar Project. When she's not trying to understand health analytics, she is usually found chasing 4 small children and a puppy.

Daniel Capurro is an Associate Professor in Digital Health in the School of Computing and Information Systems and Deputy Director of the Centre for the Digital Transformation of Health, both at the University of Melbourne.

Junhyuk Chang is an integrated PhD course student studying biomedical science at Ajou University Graduate School of Medicine. He received a PharmD degree in the College of Pharmacy at Ajou University.

Alec Chapman is a Data Scientist and PhD student in biostatistics. His research focuses on building NLP systems for extracting variables from clinical text for the purposes of epidemiologic research and clinical operations for topics including homelessness, COVID-19 surveillance, and disease misdiagnosis.

Jia Chen is a reseacher in public health and clinical decision making by combining traditional statistical methods with machine learning, aiming to improve health equity of the whole population and has published 10+ scientific papers.

Dr Cho is a Korean expert in clinical decision support and patient safety, using information technology to improve clinical decision-making, quality-of-care, cost-effectiveness, and outcomes assessment in nursing practice. A professor in the Nursing Department, Medical School of Inha University, Rep. of Korea.

A fourth-year PhD student in the School of Biomedical Engineering and Instrument Science, Zhejiang University, has been engaged in scientific research in the field of computational pathology for three years, and his research direction is digestive tract cancer.

Dr Sue Feldman is a Professor and Director of Graduate Programs in Health Informatics at the University of Alabama at Birmingham. Her research is primarily in the area of developing systems for social good. Most recently she was awarded the HIMSS 21 Changemaker in Health Award.

Sujin Gan is an integrated PhD student in Ajou university School of Medicine. She received a nursing degree from the same university and has a work experience as a nurse in delivery room.

Nadeesha Hitige is a PhD candidate at the University of Wollongong, School of Computing and Information Technology. She received a bachelor’s degree in ICT from the Rajarata University of Sri Lanka and currently working as a lecturer in IT. She is interested in process-mining, mHealth and EMR related research initiatives.

Dr Seogsong Jeong received his M.D. degree in China (2018). He earned a M.S. degree in Surgery from School of Medicine, Shanghai Jiao Tong University in 2018. He earned a Ph.D. degree in Biomedical Sciences from Seoul National University College of Medicine in 2022.

Kazuma Kokomoto is a specially appointed assistant professor at Osaka University Dental Hospital, Division for Medical Informatics and a Board Certified Fellow of the Japanese Society of Pediatric Dentistry. He received PhD from Osaka University Graduate School of Dentistry. His work focuses specifically on applications of information technology in dentistry.

JA HYUNG KOO received the B.S. degree and Ph.D degree in electronics and electrical engineering from Dongguk University, Seoul, South Korea, in 2016 and 2021, respectively. is currently working for SEERS. His research interests include biometrics signal and deep learning.

Lee, Kyehwa is a family medicine physician and biomedical informatician. Her main research areas are pharmacogenomics, clinical informatics, and knowledge representation. She is a Director of Education of the Korean Medical Informatics Society and a member of GDHP.

My academic backgrounds: Bachelor degree in Nursing, Master’s in health information management, Doctoral degree in Healthcare Management and Informatics. My research fields: Health Big Data, Social Network Analysis, Machine Learning, Health Communication, Digital Health, CDSS, etc.

Dr Raniga is research scientist with a background in software engineering and image analysis. He has worked on a diverse set of projects, in large multi-disciplinary teams ,including development of algorithms, imaging informatics systems and applying tools and techniques from the imaging and informatics fields.

Justin is passionate about improving the efficiency of hospitals, and is particularly interested in the analysis, visualisation, and interpretation of data to derive new insights/knowledge that can help shape policy.

I graduated from the Dental Technician School of Osaka University Dental Hospital. in 2015, and I completed his dental technician training course at Osaka University Dental Hospital. in 2017, Currently a technical staff member of the Medical Information Office of Osaka University Dental Hospital and a graduate student of Osaka University Graduate School.

Dr Obeid is a Professor in Biomedical Informatics at the Medical University of South Carolina. His research focuses on the use of artificial intelligence and secondary use of electronic health records data with the long-term goal of improving health outcomes.

I'm in medical informatics Ph.D. student, I'm interested in data preprocessing, so I study how to process data in a fast and efficient way.

Alberto Purpura is a Research Scientist at IBM Research Europe, Dublin in the Natural Language Processing (NLP) and Reasoning in Healthcare team. His main research area is information extraction with a focus on NLP for knowledge graphs construction.

Vlada is a data scientist and a machine learning expert passionate about developing automated systems that can facilitate clinical decision-making. Her research interests lie at the intersection of artificial intelligence, data analysis and digital health, and involve the application of machine learning, natural language processing, and image analysis methods to complex biomedical and clinical documentation datasets. Vlada works with stakeholders of diverse backgrounds to build solutions that address user needs and enjoys seeing the development and implementation of tools from start to end.

Ka Yung Cheng, currently working as research associate under Prof Björn Bergh and Prof Björn Schreiweis at Universitätsklinikum Schleswig-Holstein (UKSH), Germany. Her research topic is "Developing a retrievable image storage pipeline in data lake of a modern clinical data center". She can be contacted at: [email protected]

Arash Shaban-Nejad is Director of Population and Precision Health and Associate Professor in the Center for Biomedical Informatics, and the Department of Pediatrics at the University of Tennessee Health Science Center (UTHSC).

Ching Yee is an Executive at the Data Analytics Office in KK Women's and Children's Hospital. As a data analyst in the team, Ching Yee has participated in various hospital level projects and performed data extraction, data processing and data visualisation work.

Soobeen Seol is an integrated Ph.D. student studying biomedical science at Ajou University Graduate School of Medicine. She received a bachelor's degree in biomedical laboratory science from Soonchunhyang University. She has work experience as a clinical research associate in a pharmaceutical company and a contract research organization.

Professor Siriwan Suebnukarn has focused on creating intelligent environments for clinical decision support and education. She has done pioneering work in the areas of intelligent medical tutoring and haptic virtual reality surgical simulation. Currently, she is working on the application of AI for automated diagnosis of oral and maxillofacial diseases.

Antonia comes from quite a diverse academic background - BSc Biomedicine and MRes Oncology. Currently, she is a final year PhD student in Health Informatics at University of Manchester in collaboration with Microsoft Research, Cambridge, UK focusing on the methodology around clinical prediction models, missing data and their handling.

Robin Vlieger is a PhD candidate in the School of Computing at the Australian National University. He works on diagnostic and prognostic machine learning models for neurodegenerative diseases as part of the 'Our Health in Our Hands' Grand Challenge.

2021: Diplomate, Thai Board of Oral and Maxillofacial Surgery 2020: Residency Training Program in Oral and Maxillofacial Surgery, Khon Kaen University, Faculty of Dentistry. 2019: Visiting Trainee in Oral and Maxillofacial Surgery, Tohoku University, Graduate School of Dentistry. 2014: Doctor of Dental Surgery (Second-Class Honors), Thammasat University, Faculty of Dentistry.

Jim Warren is Professor of Health Informatics at the University of Auckland. He is interested in innovative IT to improve healthcare delivery, especially for long-term conditions, including cardiovascular disease and mental health. He is a Fellow of the Australasian Institute of Digital Health.

My research topic is "Medical Artificial Intelligence" and I am interested in "decision making" in the field of radiological technology. In addition, I am working on the development of Japanese terminology related to adverse events of medical devices.

My research topic is "Medical Artificial Intelligence" and I am interested in "decision making" in the field of radiological technology. In addition, I am working on the development of Japanese terminology related to adverse events of medical devices.

I got the M.S. degree in Biomedical Engineering from Zhejiang University, Hangzhou, China, in 2019. Im engaged in medical informatics research in Zhejiang Lab, dedicated to the algorithm research and platform construction of multi-center clinical data collaborative analysis, to provide clinical workers with effective decision support tools based on EHRs.