Sven is a medical device consultant at OpenRegulatory GmbH, a Berlin-based company focused on early stage startups. He previously worked at IBM and Merantix Healthcare (Vara), and contributed to several standardization initiatives around machine learning based applications.
Machine Learning Laboratory in Finance and Organizations
Experience in project, product, and program management in the United Nations, Machine Learning Laboratory, IT companies, and Brazilian institutions. Participation in all project management phases, promoting risk and stakeholder management and daily operational management (real-time development) working with Agile Project Management, Scrum Framework, Traditional Methods. Expertise in data analyses and research in IT and software like Excel, Power BI, Jupyter(Python). Constantly, doing courses on different websites to acquire knowledge to be able to help people. Working on Machine Learning for Health since 2020, this mission is unique to give the world more solutions to health problems, especially using organized methods, public policies, and Artificial Intelligence.
Philips, Head of Global Software Standards
Pat Baird works at Philips as the Head of Global Software Standards. Pat likes to think of his job as “Policy Engineering” – understanding the unmet needs (and frustrations) of regulators and developers, and developing standards, whitepapers, and training to meet those needs.
Charité - Universitätsmedizin Berlin, Oral Diagnostics & Digital Health & Health Services Research
Lead Data Scientist at ODDH2, Charité - Universitätsmedizin Berlin. He predominately works in the fields of statistics, predictive modelling, machine learning, computer vision, epidemiology and public health. One of his core interests is the development of tangible solutions to improve dental diagnostics by applying machine learning and deep learning techniques. He is an advocate of the paradigm of data driven dentistry. Thereby, he is embracing the complexity of decision-making in the medical domain and is critically reviewing costs, benefits and trustworthiness.
Marc is a Data & AI specialist, innovation enthusiast and speaker. He is leading the Open Code initiative that aims to produce the digital building blocks (six software packages) that compose the FG-AI4H Assessment Platform. He is also chairing the Working Group on Data and AI solution handling. This Working Group focuses on the operational aspects of data processing throughout the data lifecycle. It works on the definition of best practices, establishes processes and related policies, and creates reference documents.
Johner Institut GmbH
Professor Johner is an expert for the development and approval of medical devices that contain software or that are software. As an auditor, member of a standards committee, trainer of notified bodies and author of several books and guidelines, Dr. Johner contributes to the advancement of the regulatory landscape. He is the CEO and founder of the Johner Institute, the leading consultancy firm in the German speaking market that provides regulatory guidance, tests medical device and provides master study courses and seminars. Christian taught at several universities e.g. in Konstanz (Germany), St. Gallen (Switzerland), Würzburg (Germany) and Stanford University (USA).
Oxford University Hospitals, Radiologist
I am a radiologist, having been awarded my primary medical degree and BA in medical sciences by the University of Oxford, where I have also recently completed a postgraduate diploma in Health Research. I am a fellow of the Royal College of Radiologists and a member of the Royal College of Physicians. I am training as a Fellow in Neuroradiology in Oxford, UK, having previously worked as an Academic Clinical Fellow in Clinical Radiology.
Arun Shroff is founder and CEO of Xtend.AI, a startup using AI to solve challenges in health and other domains. Arun is also a topic driver at ITU/WHO's Focus Group on AI for Health for the Ophthalmology topic group. He is a technology entrepreneur and an advisor to startups and non-profit ventures in both the USA and India.
I am a Scientist at Fraunhofer AICOS, Portugal. I am also a PhD candidate in Biomedical Engineering at the NOVA School of Science and Technology. My main research interests include knowledge extraction, signal processing, machine learning, deep learning, and explainable artificial intelligence applied to time series data.
Kaushik Manjunatha is a graduate student at University of Bonn-Rhein-Sieg, pursuing Master of Science in Autonomous Systems and working as Student Research Assistant at Fraunhofer Heinrich Hertz Institut HHI, Berlin and is a part of AI4H machine learning assessment platform. Previously, he has worked as a Software Developer at Hewlett Packard Enterprise, Bengaluru, Karnataka, India. He has work experience in Java, Python and has completed his R&D project related to time series anomaly detection. His research interests include machine learning, deep learning, natural language processing and explainble AI for time series data.
African Institute for Mathematical Sciences (AIMS), Rwanda & University of Ibadan, Nigeria
Jeremiah Fadugba is a PhD Candidate in Computer Science at University of Ibadan, Nigeria and a doctoral fellow in data science at African Institute for Mathematical Science (AIMS), Rwanda. Previously, he has worked as a Data Science/Machine Learning Consultant for various organizations. His current research interest is in medical applications of machine learning and artificial intelligence. He looks forward to the development of AI-enabled medical solutions for developing countries.
Dr. Giovanna Jaramillo-Gutierrez
Milan and Associates, Co-founder
Dr. Giovanna Jaramillo-Gutierrez is an epidemiologist turned data scientist, passionate about the development of ethical, human-centric AI-based products and services that are fair, explainable and transparent. She is the Co-founder of Milan and Associates, a consultancy firm that works across the public sector and social impact tech companies. She performs algorithmic bias audits, to uncover unwanted bias that might harm vulnerable populations. She received her Ph.D from the US National Institutes of Health and Free University of Brussels, and holds an M.Sc. in Epidemiology from the London School of Hygiene and Tropical Medicine. She is an active member of EPIET alumni network, allwomen.tech and the ITU-WHO Artificial Intelligence for Health initiatives working group data and AI solution assessment methods.
LREN, Departement des neurosciences cliniques, CHUV, Universite of Lausanne
I have several years of experience in multidisciplinary research with deep knowledge and expertise in two key fields statistical modelling and neuroimaging. I use these tools to investigate the cognitive functions and to test new hypotheses regarding the determinants of individual health and disease.
China Academy of Information and Communications Technology
Shan is a senior executive of the Digital Health Department, China Academy of Information and Communications Technology (CAICT). She is the vice-chair of ITU&WHO Artificial Intelligence for Health Focus Group (FG-AI4H), co-chair of the Ad-hoc group of the digital technologies on COVID health emergency (AHG-DT4ER), the head of WHO collaborating center for digital health. She also contributes to the WHO Smart Vaccination Certificate (SVC) working group, and cybersecurity working group of the International Medical Device Regulators Forum(IMDRF).
Helmholtz Zentrum München & Technical University of Munich
Shadi Albarqouni is an AI Young Investigator Group Leader at Helmholtz AI and TUM Junior Fellow at TU Munich. Previously, he worked as a Visiting Scientist at Imperial College London and ETH Zurich, and as a Senior Research Scientist & Team Lead at the Technical University of Munich (TUM). Shadi has more than 100 publications in Machine Learning with Medical Imaging and Computer Vision. His current research interests include Robustness, Uncertainty quantification, and recently Federated Learning. He is also interested in Entrepreneurship and Startups for Innovative Medical Solutions, in particular, knowledge transfer to developing and emerging countries.