Contributors

Christian Matek

Helmholtz Center Munich

I am a postdoctoral researcher in Digital and Compuataional Pathology at Helmholtz Zentrum München. As a physicist and medical doctor, I am particularly interested in assessing AI-based algorithmns for translation into routine diagnostic use.

Elora Schoerverth

Fraunhofer HHI

I am a first year CS graduate student at TU Berlin focusing on machine learning, distributed systems and medical informatics. I also work at Fraunhofer HHI where I develop a machine learning assessment platform for AI4H.

Sven Piechottka

OpenRegulatory GmbH

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.

Kerstin Ritter

Charité - Universitätsmedizin Berlin

I am a junior professor for computational neuroscience and lead a research group on machine learning in neuroimaging. My main research interests are XAI, fairness, and robustness of machine learning models in neurology and psychiatry.

Jana Fehr

Hasso-Plattner-Institute, Digital Health & Machine Learning

Coming from Biotechnology and Computational Biology, I am currently pursuing my PhD in Digital Health and Machine Learning. My work focuses around evaluating ML-applications in health.

Luis Oala

Fraunhofer HHI

I am a PhD research scientist at the AI Department of Wojciech Samek at Fraunhofer HHI. I work at the intersection of uncertainty quantification, robustness and interpretability to understand and detect failure modes of deep neural networks.

Alixandro Werneck

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.

Pat Baird

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.

Joachim Krois

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.

Dominik Schneider

Merck KGaA, Darmstadt, Germany

As senior architect in the IT advanced analytics team at Merck, Dominik oversees the data and technology architecture and provides guidance & thought leadership in the data & analytics domain.

Jhonatan Hamner Tirado

Universidad Nacional Mayor de San Marcos

Steffen Vogler

Bayer AG

Bioimage Analyst with Background in Engineering and a PhD in Neurobiology

Marc Lecoultre

MLLab.AI

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.

Md. Golam Rasul

Fraunhofer HHI

Data Science student at Universität Potsdam. Open to learning new technologies and love to put myself into challenges. Enthusiastic about Data Analysis, Data Visualization, Machine Learning algorithms and Backend Development

Sebastian Niehaus

AICURA medical GmbH

Sebastian is Head of Data Science at AICURA medical, where he and his team are working on a secure and scalable runtime environment for AI algorithms. He has experience in different fields of machine learning algorithms.

Shobha Iyer

Big Data Consultant

Shobha is a Software Architect with around two decades of experience in the Banking and Pharma industry. She holds a degree in chemistry and is a qualified yoga and meditation coach.

Erick Muñoz Alvarado

Instituto Tecnológico de Costa Rica

Computer engineering student, passionate about science and technology. I enjoy improving machine learning systems to solve real world problems and generate a positive impact in our society.

Christian Johner

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).

Andrew Murchison

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.

Danny Xie-Li

Instituto Tecnológico de Costa Rica

Graduate Bacherlor Student at TEC Costa Rica and Master Student, interested in fields of machine learning for health and biodiversity. Also, work as a data engineer.

Arun Shroff

Xtend.AI

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.

Duarte Folgado

Fraunhofer AICOS

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.

Muhammad Abdullah

Fraunhofer HHI

I am a Data Science Student at RWTH University. Self motivated, hard working individual. Enthusiastic about Machine Learning, Data Analysis and Development

Pradeep Balachandran

Technical Consultant (Digital Health)

My focus areas of research include Modelling of Explainable & Trustworthy Machine Learning for Health(ML4H) Systems and Open Code Development of ML4H Assessment Platform.

Martin Meyer

Siemens Healthineers

Martin Meyer works at the headquarters of Siemens Healthineers in Erlangen, Germany, and takes part in standardization activities with a focus on Artificial Intelligence. Martin holds a diploma in IT from the University of Erlangen-Nuremberg.

Bruno Sanguinetti

Dotphoton AG

I am CTO at a startup that makes image processing software for AI. My background is in quantum optics and metrology. Most of my work is about understanding randomness and uncertainty to extract stability and information.

Alberto Merola

AICURA medical GmbH

Alberto is Head of Data Science at AICURA medical, where he and his team are working on a secure and scalable runtime environment for AI algorithms. His expertise is in machine learning and neuroimaging.

Kaushik Manjunatha

Fraunhofer HHI

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.

Shruti Choudhary

University of Oxford

Medical Statistician and Physician with an MBA, working on Healthcare AI product development from last few years.

Jeremiah Fadugba

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.

Saul Calderon-Ramirez

De Montfort University, Instituto Tecnologico de Costa Rica

Interested in deep learning for health. Experience in semi-supervised learning, out of distribution

Ferath Kherif

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.

Luca Gilli

Clearbox AI

I the CTO and one of the co-founders of Clearbox AI. My work largely revolves around conceptualising and applying XAI and uncertainty quantification techniques for the monitoring and continuous improvement of machine learning models in production.

Jesse Ehrenfeld

American Medical Association

I am physician anesthesiologist and informaticist who serves as a member of the Board of Trustees of the American Medical Association. I am also the Editor-in-Chief of the Journal of Medical Systems.

Shan Xu

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).

Shadi Albarqouni

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.