Barbara E. Engelhardt is an associate professor in the Princeton Computer Science Department, on leave in 2019-2020 working as a principal scientist at Genomics Plc. Previously, she was an assistant professor at Duke University in Biostatistics and Bioinformatics and Statistical Sciences. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley, advised by Professor Michael Jordan. She did postdoctoral research at the University of Chicago, working with Professor Matthew Stephens. Interspersed among her academic experiences, she spent two years working at the Jet Propulsion Laboratory, a summer at Google Research, and a year at 23andMe, a DNA ancestry service. Professor Engelhardt received an NSF Graduate Research Fellowship, the Google Anita Borg Memorial Scholarship, and the Walter M. Fitch Prize from the Society for Molecular Biology and Evolution. As a faculty member, she received the NIH NHGRI K99/R00 Pathway to Independence Award, a Sloan Faculty Fellowship, and an NSF CAREER Award. Professor Engelhardt’s research interests involve developing statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms and dynamics of complex phenotypes and human disease.

Rumi Chunara is an Assistant Professor at NYU, jointly appointed at the Tandon School of Engineering (in Computer Science) and the School of Global Public Health (in Biostatistics/Epidemiology). Her PhD is from the Harvard-MIT Division of Health Sciences and Technology. Her research group focuses on developing computational and statistical approaches for acquiring, integrating and using data to improve population-level public health. Considering health from a comprehensive, multi-level perspective means that she develops methods to work with data including social media, mobile phone, satellite imagery and other digital data sources as well as electronic health record, telemedicine and other clinical data. Current work includes development of machine learning methods specific to public health data and questions, spatio-temporal models of health outcomes and assessment of interventions and treatments, identifying and generating data in order to better understand multi-level factors related to health including environmental and online factors, and developing methods for working with data from multiple environments/sources using causal thinking. She is an MIT TR35, NSF Career and Max Planck Sabbatical award winner and her work has been funded by diverse sources including the Gates Foundation, NSF, NIH, Facebook, and the International Growth Centre.

Noa Dagan has an MD and an MPH degree from the Hebrew university. She is currently the head of data & AI-driven medicine in the Clalit Research Institute (Clalit Health Services). In addition, she is a public health resident and a PhD student in the Computer Science department at Ben-Gurion University.

Dr. Dagan is currently focusing on the development and research of data and AI-driven solutions in medicine, to promote preventive and proactive care. She leads the entire lifecycle of data and AI-driven interventions, from concept design, through machine-learning modeling, to implementation (when model results are deployed directly to patients or their physicians).

Her PhD work focuses on practical implementations of machine-learning algorithms on clinical data. Clinical areas of interest currently include prevention of cardiovascular events and osteoporotic fractures. Dr. Dagan is also exploring algorithms to improve the fairness of machine-learning models.

Dr Panch is a primary care physician and Co-Founder and Chief Medical Officer of Wellframe. He has founded and led the clinical, design, product and consumer experience teams and co-led the company itself since inception and serves on the board. His research work broadly involves the use of technology to scale clinical interventions. His work has been published in Nature Digital Medicine, The Lancet Digital Health, The Journal of Global Health and other leading peer reviewed journals. One of his papers was in the top 0.3% of all papers in any subject in terms of impact in 2019 on Altmetrics - ranked 529 out of 200,000 papers and in the top 5% of all papers ever evaluated.

He is an Instructor in Health Policy and Management at the Harvard TH Chan School of Public Health and a Lecturer in Health Sciences and Technology at MIT where he teaches courses at the Masters and PhD level. He is the holder of a full utility patent on the Wellframe technology and is the inaugural recipient of Harvard’s Public Health Innovation Award. He was elected President-Elect of the Harvard TH Chan School of Public Health Alumni Association which represents 13,000 alumni across all domains of healthcare. He also serves on the board of Wellframe, the Advisory Board of Boston Children's Hospital and the Advisory Board of Healthcare for All - a leading health policy think tank and advocacy organisation. He practiced medicine for 17 years and lead a large risk bearing primary care group in London serving an urban population with high levels of economic deprivation.

Mohammad Jouni is the Chief Technology Officer at Wellframe, where he leads the engineering and data science teams responsible for building a mobile platform to provide holistic support to address chronic or complex conditions, comorbidities, and transitions of care, as well as care navigation, lifestyle, wellness, and social determinants. Mohammad's team leverages advances in NLP, unsupervised learning and trend analysis to extract population level health insights from virtual conversations and patient health management activities.

Mohammad holds an M.S. in System Design and Management from MIT. His thesis focused on the design of intelligent platforms.

Dr. Robert JT Morris is Professor, National University of Singapore Yong Loo Lin School of Medicine and Chief Technology Strategist for the Ministry of Health Transformation (MOHT). He is also an Advisor to the National Research Foundation in the Prime Minister’s Office. His current focus is on application of computer and information sciences, including AI, to transform healthcare.

From 2011-2017, he led all IBM Research’s Global Laboratories, and built new laboratories in Brazil, Australia, Africa and Singapore. IBM Research earned 6 Nobel prizes, laying the basis for the information revolution. In 2010 Fortune and Money Magazine declared Robert the “Smartest Scientist in Technology” in their print magazines and on the web: https://ibm.biz/BdrbY4.

During 2006-2011, Robert was VP Services Research, IBM TJ Watson Research Center, NY, helping start IBM’s healthcare and IoT businesses, and earlier VP Assets Innovation, IBM Global Services. From 1999-2004, he was the VP & Director of IBM Almaden Research Center, Silicon Valley, where relational database technology, the disk drive, etc., were invented. Responsible for creation of Services Science, research for IBM’s ThinkPad, and Storage Systems. Earlier he led advanced systems research at TJ Watson Center, including the Deep Blue chess machine, which defeated world champion Garry Kasparov in 1997. Originally from Australia, he began his career at Bell Labs working on early neural networks and the largest packet switch of the era (2STP).

Robert was Chairman, Bay Area Science and Innovation Consortium (BASIC) 2001-2005, comprising heads of major research institutions in Silicon Valley. Published over 60 scientific articles, awarded 11 patents. Editor IEEE Trans. on Computers and on many boards. Received the Australian-American Fulbright and Gowrie Fellowships, PICMET Leadership in Tech. Mgmt. Award, Fellow IEEE, IBM Acad. of Technology, Government University Industry Research Roundtable (National Academies).