Emerging Data Science Challenges in the era of COVID-19
Tuesday, Aug 25, 4pm PDT / 7pm EDT
Please join Dr. Bharat Rao for a one-on-one conversation with Dr. Tom Frieden, former Director of the US Centers for Disease Control and Prevention (2009-2017) and CEO of Resolve to Save Lives, about the challenges of the COVID-19 response and how data science can accelerate our path to recovery.
They will then be joined by a distinguished panel of experts to further discuss how these and others challenges are impacting academic medical centers, universities, government and the private sector. They will also address the fundamental data and data science innovations that will be required to ensure national and global preparedness for future pandemics.Speakers:
- Tom Frieden, Resolve to Save Lives
- Bharat Rao, KPMG LLP
- Tanya Berger-Wolf, Ohio State University
- Kash Patel, Penn Medicine
- Fred Rahmanian, Capital BlueCross
- Geoff Webb, Monash University
Bio: Tom Frieden is a physician trained in internal medicine, infectious diseases, public health, and epidemiology. He began his public health career in New York City confronting the largest outbreak of multi-drug resistant tuberculosis to occur in the US. He was then assigned to India, on loan from the Centers for Disease Control and Prevention, where he helped scale up a program for effective tuberculosis diagnosis, treatment, and monitoring. Asked to return to New York City to become Mayor Mike Bloomberg’s Health Commissioner, he directed efforts to reduce smoking and other leading causes of death that increased life expectancy by 3 years. As Director of the US Centers for Disease Control and Prevention (2009-17), Dr. Frieden oversaw the work that helped end the 2014 West Africa Ebola epidemic. Dr. Tom Frieden now leads Resolve to Save Lives, a $225 million, 5-year initiative of Vital Strategies, which aims to save millions of lives from cardiovascular disease and make the world safer from epidemics.Dr. Frieden is also Senior Fellow for Global Health at the Council on Foreign Relations.
Bio: Bharat Rao (Moderator) is a Partner with KPMG and their National Leader for Healthcare & Life Sciences Data Analytics. He is an internationally recognized expert in healthcare AI, machine learning, fraud analytics, governance and cloud technologies. Before joining KPMG, Bharat served as General Manager of Siemens Health Analytics and Personalized Medicine, where he launched an AI-based patient-records-analytics system which was deployed at 300 US hospital systems nationwide to improve the quality of care for millions of patients. Prior to that, he led the development of 20+ FDA- and EU-approved machine-learning and AI systems to support the diagnosis and treatment for various cancers, lung disease, and heart disease from medical images. He has published 150+ papers in peer-reviewed scientific journals & conferences across AI and medicine, co-authored one book, and has been granted 63 patents.
Bio: Tanya Berger-Wolf is the Director of the Translational Data Analytics Institute and a Professor of Computer Science Engineering, Electrical and Computer Engineering, as well as Evolution, Ecology, and Organismal Biology at the Ohio State University. As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. Dr. Berger-Wolf is also a director and co-founder of the conservation software non-profit Wild Me, home of the Wildbook project. She is helping coordinate the data integration, data analytics and modeling efforts for COVID-19 monitoring and response for the state of Ohio and for The Ohio State University. She has received numerous awards for her research and mentoring, including the highest honor of University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.
Bio: Kash Patel is Chief Digital Technology Officer and Vice President at Penn Medicine. Kash has over 20 years’ experience in technology leadership ranging from startups to multi-national corporations and is a seasoned leader in healthcare with a strong focus on innovation and building great teams. At Penn Medicine, Kash leads the world class Pearlman School of Medicine Information Technology team. He supports the areas of research, clinical trials, manufacturing high performance computing, informatics, genomic science and many others, and is responsible for all bespoke software development. In 2020 there is a large focus on COVID-19 activities, working with Microsoft, Google and Apple to develop novel solutions that reflect Penn Medicine’s outstanding reputation. Earlier, Kash was the Vice President for population health and analytics at Mount Sinai Health System where he led the technology strategy to support the institutions business shift from fee for service to assuming more risk.
Bio: Fred Rahmanian is Geneia’s chief analytics and technology officer. He brings over 20 years of experience as a healthcare data scientist and software architect. He has a track record of building applications that integrate diverse data sources to solve the most complex healthcare problems. Rahmanian was recently named to Industry Era’s list of 10 Best CTOs of 2019. Called a “true technological visionary,” he earned this distinction for “his decades of experience in software development, data analytics and artificial intelligence” and “his creation and leadership of the Geneia Data Intelligence Lab (GDI Lab).” Before joining Geneia, Rahmanian was a principal data scientist at IBM Watson Health. He continues to be a guest lecturer in Columbia’s graduate HIT certificate program. Fred and his team were among the first organizations to create a COVID-19 model for a more effective way of stratifying the patient population.
Bio: Geoff Webb is the Research Director and Professor of the Monash University Data Futures Institute. He is a leading data scientist and was elevated to IEEE Fellow in 2015 and his numerous awards include the inaugural Eureka Prize for Excellence in Data Science (2017). He was editor in chief of Data Mining and Knowledge Discovery from 2005 to 2014. He is a Technical Advisor to BigML Inc, who have incorporated his best of class association discovery software, Magnum Opus, as a core component of their cloud-based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the 1980s. His OPUS search algorithm remains the state-of-the-art in rule search. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery that are widely deployed.
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