Dr. Sandra Barteit is a research group leader in Digital Global Health at the Heidelberg Institute of Global Health, University Hospital Heidelberg. Her research sits at the intersection of artificial intelligence, data science, and sensor-based and wearable technologies, with a focus on the health impacts of climate change on vulnerable populations in Sub-Saharan Africa and Southeast Asia. She leads the PULSE-AI project, funded by the Carl Zeiss Foundation, which uses AI and wearable sensors to study climate-related health risks and develop scalable health interventions.

Sandra Barteit holds a Dr.sc.hum. in Global Health from Heidelberg University and master's degrees in Analytics (Georgia Institute of Technology), Innovation and Entrepreneurship (HEC Paris), and Computational Linguistics (Heidelberg University). She is completing her Habilitation in Global Health at the Medical Faculty of Heidelberg University and coordinates the Faculty's Global Health elective track.

Prof. Wei Tu is a distinguished professor of Urban Informatics in Shenzhen University. He is the Head of the Department of Urban Informatics, Shenzhen University. He received the PhD degree in Photogrammetry and Remote sensing engineering from Wuhan University in 2013. He has been the visiting scholar of MIT and the visiting professor of University College London. His research focuses on urban big data and urban artificial intelligence. He has published over 20 peer-reviewed papers in Science, Nature Health, IJGIS, and CEUS. He is the PI or co-PI of the Projects of National Key Research and Development Program, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, and the Science and Technology Commission of Shenzhen, He has been awarded the first prize of geographic information Technology Progress, the first prize of Surveying and Mapping Science and Technology, the Second Prize of Science and Technology Progress of the Ministry of Education.

Goylette Chami is a Professor of Infectious Disease Epidemiology in the Big Data Institute and Nuffield Department of Population Health at the University of Oxford. She leads a diverse group in Oxford and Uganda, combining expertise in parasitology with statistics, machine learning, and epidemiology. Her group works to improve the understanding of schistosomiasis treatment, control, and active morbidity management, as well as to identify the interactions of hepatosplenic schistosomiasis with endemic co-infections including HIV, hepatitis B, and malaria.

With the Uganda Ministry of Health, she leads a large-scale community-based prospective cohort (SchistoTrack) to follow individuals annually to understand how schistosomiasis-related diseases develop as well as the best methods for targeting transmission reduction. She holds several advisory roles for the WHO, WHO-AFRO, Global Burden of Disease, and UK NIHR among other policy and funding agencies. She has been endorsed as an Exceptional Promise Academic by the Royal Society in clinical public health, profiled by Nature for her research contributions to infectious disease epidemiology, and awarded the Odile Bain Memorial Prize and C.A. Wright Medal for exceptional contributions to the understanding of medical parasitology. She held a Junior Research Fellowship in Medical Sciences at King’s College Cambridge as well as completed MPhil and PhD degrees at the University of Cambridge.

Sandra Bucci is Professor of Clinical Psychology at the University of Manchester and an NIHR Senior Investigator. She is an Honorary Consultant Clinical Psychologist at Greater Manchester Mental Health NHS Foundation Trust, where she co-directs the Complex Trauma and Resilience Research Unit. Professor Bucci trained as a clinical psychologist at the University of Newcastle, Australia, and worked in Early Intervention in Psychosis services before relocating to the UK.

Her research focuses on developing, evaluating and implementing digital approaches to support people living with severe mental health problems. Grounded in service-user involvement and co-design, her work spans discovery science, intervention development, clinical evaluation, and real-world implementation. She leads a major research portfolio funded by all the major funders and contributes to shaping digital mental health research and practice nationally. She is co-founder and Chief Clinical Officer of CareLoop Health, a digital therapeutics company spun out of the University of Manchester.

Dr. Sheng Xu is a tenured professor and the inaugural Director of Emerging Technologies in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, with courtesy appointments in Electrical Engineering and Materials Science and Engineering. He earned his B.S. degree in Chemistry from Peking University and his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology. Subsequently, he pursued postdoctoral studies at the Materials Research Laboratory at the University of Illinois at Urbana-Champaign. He then spent 10 years on the faculty at UC San Diego before joining Stanford in 2025. His research group is interested in developing new materials and fabrication methods for soft electronics. His research has been presented to the United States Congress as a testimony to the importance and impact of NIH funding.

Dr. Ariel Dora Stern is the Alexander von Humboldt Professor for Digital Health, Economics and Policy at the Hasso Plattner Institute, a Full Professor at the University of Potsdam, and an Adjunct Professor at the Icahn School of Medicine at Mount Sinai. Previously, she spent ten years on the faculty of Harvard Business School and continues to teach in executive education programs for Harvard Medical School. Prof. Stern’s research focuses on innovation and technology management in health care, using methods from econometrics and data science to curate and analyze novel datasets. She has published widely in top journals in medicine, economics, and health care policy, and her research has been cited by Bloomberg, The New York Times, National Public Radio, STAT News, the Handelsblatt, the Frankfurter Allgemeine Zeitung, Die Zeit, and the Tagesspiegel. She is a sought-after commentator and expert on the impact of emerging technologies in healthcare, frequently contributing to conferences, policy discussions, and media coverage.

From 2020-2021, Prof. Stern served as the Director for International Health Care Economics at the Health Innovation Hub, an independent think tank of the German Federal Ministry of Health. She is a member of the Advisory Board of the Peterson Health Technology Institute, the German Society for Digital Medicine, and the Max Planck Institute for Innovation and Competition; a regular commentator on health policy and technology; and an advisor to numerous health care startups. She received her Ph.D. from Harvard University, where she was a National Bureau of Economic Research Predoctoral Fellow in the Economics of Health and Aging. She holds an undergraduate degree in economics from Dartmouth College, where she was a Presidential Scholar and national collegiate figure skating champion. 

Cecilia Mascolo is Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge, UK. She is also Chief Scientific Officer of auryx, a start up focusing on physiology sensing via in-ear microphones of commercial earbuds. She is also a Fellow of the Royal Academy of Engineering and the recipient of an ERC Advanced Research Grant. Prior joining Cambridge in 2008, she was a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in wearable systems and machine learning for mobile health. She has published in top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has served as steering, organizing and programme committee member of wearable and sensor systems and machine learning conferences. More details at www.cl.cam.ac.uk/users/cm542