SAIL

Dr. Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist and entrepreneur. He is Founder and CEO of IDx Technologies, Inc., the first company ever to receive FDA clearance for an autonomous AI diagnostic system. In this capacity, as an expert on AI in healthcare, he has been invited to brief the US Congress, the White House, the U.S. Food and Drug Administration (FDA) and the Federal Trade Commission (FTC).

In 2010, Dr. Abramoff’s research findings led him to found IDx Technologies Inc. to bring to patients more affordable, more accessible, and higher quality healthcare. IDx is a leading AI diagnostics company on a mission to transform the affordability, quality, and accessibility of healthcare. The company is focused on developing clinically-aligned autonomous AI systems. By enabling diagnostic assessment in primary care settings, IDx aims to increase patient access to high-quality, affordable disease detection. In 2018, IDx became the first company ever to receive FDA clearance for an autonomous AI diagnostic system. The system, called IDx-DR, detects diabetic retinopathy without requiring a physician to interpret the results, and has been implemented widely in primary care clinics all over the US and in Europe.

As a physician-scientists, Dr. Abramoff continues to treat patients with retinal disease and trains medical students, residents, and fellows, as well as engineering graduate students at the University of Iowa. Dr. Abramoff has published over 270 peer reviewed journal papers (h-index 59) on AI, image analysis, and retinal diseases, that have been cited over 28,000 times, as well as many book chapters. He is the inventor on US 17 patents and 5 patent applications on AI, medical imaging and image analysis.

 

Ricky Bloomfield, MD is a physician, entrepreneur, developer, and clinical informaticist who is passionate about using technology to improve the health of all people. He joined Apple's Health team in November 2016 as the Clinical and Health Informatics Lead where he works on products that empower patients to improve their health. Prior to joining Apple, he was the Director of Mobile Technology Strategy and a pediatric hospitalist at Duke Health in Durham, NC, where he began a personal mission to liberate EHR data to empower patients and clinicians to solve healthcare’s biggest problems.

Gabriel Brat is a trauma surgeon and informaticist at Harvard Medical School and Beth Israel Deaconess Medical Center. Dr. Brat has a broad research focus on informatics tools to improve surgical outcomes. His interests include clinical decision support to optimize surgical opioid prescribing as well as leveraging large-scale database and machine learning models to inform surgical planning and improve outcomes.  As the co-founder of a successful venture-backed machine learning and computer vision company, he now teaches health IT innovation at the medical school and mentors several digital health startups. Gabriel has an undergraduate degree in bioengineering and a graduate degree in public health and biostatistics from the London School of Hygiene and Tropical Medicine. He completed his medical training at Stanford University and his surgical residency at Johns Hopkins Hospital.

Greg Corrado is a Google Distinguished Scientist and the Senior Director of the Research & Innovations division of Google Health.  As a co-founder of the Google Brain Team, he helped spearhead Google’s expansive use of deep learning across dozens of products and services.  Now having focused on healthcare as the single greatest opportunity to apply AI for the public good, he oversees research in genomics, clinical predictions, medical image interpretation, and novel sensors.  In his career as an individual scientist, he worked for decades at the nexus of artificial intelligence and computational neuroscience, and has published in fields ranging from behavioral economics, to particle physics, to natural language understanding.  Before coming to Google, he worked at IBM Research on neuromorphic silicon devices and large-scale neural simulations. He did his graduate studies in both Neuroscience and in Computer Science at Stanford University, and his undergraduate work in Physics at Princeton University.

As the Chief Scientific Officer, Ken leads UnitedHealth Group’s Research & Development function, an innovation engine aimed at positively impacting patient health on a global scale. These R&D efforts are driven by math, data, and clinical science, but also focus on the human connections required to understand, manage, and prevent the chronic diseases that afflict nearly half of the world’s population. Ken has worked with UnitedHealth Group since 2004 and became the Chief Scientific Officer in 2017. Previously the co-founder and CEO of Savvysherpa, Ken has spent his career building products and businesses that improve the healthcare system.

Yael Garten is Apple’s Director of Data Science and Engineering for Siri. She leads a team of engineers, data scientists, visualization experts, and product managers to measure, understand, and optimize the user experience and improve Siri. Yael is passionate about the rigorous scientific use of data in business decision-making and product development. For Siri, this means helping hundreds of millions of Apple users get thing done - just by asking. Previously, Yael was Director of Data Science at LinkedIn, and prior to that she was a research scientist at Stanford focused on pharmacogenomics. Yael has a Biomedical Informatics PhD from Stanford University School of Medicine, and an MSc from Weizmann Institute of Science in Israel.

Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. She currently serves as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Professor Ghassemi has a well-established academic track record in personal research contributions across computer science and clinical venues, including KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, AMIA-CRI, EMBC, Nature Translational Psychiatry, Critical Care, and IEEE Transactions on Biomedical Engineering. She is an active member of the scientific community, reviewing for NeurIPS, ICML, KDD, MLHC, AAAI, AMIA/AMIA-CRI, and JMLR. She has co-organized the 2016/2017/2018 NIPS Workshop on Machine Learning for Health (ML4H), been 2018 Area Chair for MLHC, and served as an Academic Guest Editor on the 2018 PLoS ONE call on Machine Learning in Health and Biomedicine.

Professor Ghassemi's PhD research at MIT focused on creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks with clinical collaborations at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, encompassing unsupervised learning, supervised learning, and structured prediction. Her work has been applied to estimating the physiological state of patients during critical illnesses, modeling the need for a clinical intervention, and diagnosing phonotraumatic voice disorders from wearable sensor data. Prior to MIT, Marzyeh received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.

C. William Hanson, III, MD, Professor of Anesthesiology and Critical Care, Surgery and Internal Medicine at the Hospital of the University of Pennsylvania, is an internist, anesthesiologist and intensivist. He is currently the Chief Medical Information Officer and Vice President of the University of Pennsylvania Health System. Dr. Hanson has extensive experience in medical informatics and was Visiting Professor in the Princeton University Department of Computer Science between 2002 and 2005. Dr. Hanson’s anesthetic specialty is cardiac anesthesia (cardiac surgery, thoracic surgery, lung and heart transplantation).

His research using “electronic nose” technology to detect diseases such as pneumonia and sinusitis by breath analysis has been featured in Scientific American. He recently published The Edge of Medicine: The Technology That Will Change Our Lives, a non-fiction book profiling innovations in biotechnology that are changing the delivery of medical care and the ways in which they’re altering the human experience.

Also in a recently published, Smart Medicine: How the Changing Role of Doctors Will Revolutionize Health Care, Dr. Hanson reveals the revolutionary changes that will soon be sweeping through the medical community. Dr. Hanson’s research has been featured in national and international publications, including Popular Science, U.S. News and World Report, and has been a guest on NPR’s Fresh Air as well as television documentaries on the Discovery Channel.

Maia Hightower, MD, MPH, MBA is the Chief Medical Information Officer for The University of Utah Health. She joined the UUH team in March of 2019.

Prior to joining the University of Utah Health team, she was the Chief Medical Information Officer and Interim Chief Population Health Officer for The University of Iowa Health Care. She joined the faculty of the University of Iowa’s Carver College of Medicine, Department of Internal Medicine in August of 2015, after serving as Associate Medical Director for Stanford Health Care’s University Healthcare Alliance. Dr. Hightower received her Medical Degree, as well as a Master of Public Health, from the University Of Rochester School Of Medicine, followed by residencies in Internal Medicine and Pediatrics at the University of California, San Diego. She also holds an MBA from the University of Pennsylvania’s Wharton School.

As Chief Medical Information Officer at two world class academic medical health systems, she has lead or collaborated on a number of initiatives ranging from EMR optimization and usability, introduction of new technology and population health initiatives, process improvement, and implementation of AI in clinical operations. She leads the University of Utah’s Enterprise Data Warehouse which provides a complete suite of data and analytic end-to-end solutions for operations and research purposes. She strives to “leave no one behind” with a team-based approach to supporting all members of the healthcare community to achieve professional fulfillment in our rapidly changing digital healthcare environment.

Dr. Hightower has been recognized twice by Health Data Management as one of the “Most Powerful Women in Healthcare IT” and “25 leading CMIOs at healthcare organizations.” She was recognized by Becker’s Hospital Review as one of “50 hospital and health system CMIOs to know 2017”.

Dr. Hightower’s professional interests include healthcare leadership, clinical informatics, clinical decision making and the evolution of medical care in the digital era. She believes that diverse teams create and innovate. Her drive is to advance the work of clinicians, care teams, researchers, educators and learners by providing health information technology tools, processes, and systems needed to adapt to change and provide value to our patients, families and communities in the digital era of healthcare.

She enjoys spending time with family in the great outdoors and is an avid skier, tennis player and runner. She loves gadgets of all kinds and can be found wearing more than one fitness tracker at all times.

Sachin H. Jain is President of CareMore Health and Aspire Healthcare, innovative integrated health care delivery companies within the Diversified Business Group (DBG) serving over 200,000 patients in across 26 states. He is also adjunct professor of medicine at the Stanford University School of Medicine and a contributor at Forbes. Previously CareMore's COO and CMO, he led CareMore’s successful expansion from 4 to 12 states and diversification to serve Medicaid patients; the creation of its home-based care primary and acute care models; and its industry-leading efforts to address senior loneliness. In 2019, he led integration efforts with Aspire Health.

From 2009-2011, Dr. Jain worked in the Obama Administration, where he led the launch of the Center for Medicare and Medicaid Innovation (CMMI) as its first deputy director for policy and program; he also served as special assistant to the National Coordinator for Health Information Technology. Dr. Jain is an industry thought-leader having published over 150 articles in journals such as the New England Journal of Medicine, JAMA, and the Harvard Business Review and is the co-founder and co-editor-in-chief of the journal Healthcare: The Journal of Delivery Science & Innovation. He is also an elected member of the National Academy of Social Insurance (NASI) and ranked #15 among most influential clinical executives by Modern Healthcare. He trained in internal medicine at Brigham and Women’s Hospital/Harvard Medical School and continues to practice medicine at CareMore. He was previously a member of the faculties of Harvard Medical and Business School.

Dr. Mia A. Levy is the Director of the Cancer Center at Rush University Medical Center and the System Vice President for Cancer Services at Rush System for Health. She is an Associate Professor of Medicine in the Division of Hematology and Oncology and a practicing medical oncologist specializing in the treatment of breast cancer and precision oncology.

Dr. Levy’s research mission is to develop and disseminate learning cancer systems that deliver data and knowledge driven clinical decision support across the continuum of cancer care and research. To accomplish this, she applies biomedical informatics and implementation science methods to real-world problems in healthcare delivery systems. As the director of the Cancer Center at Rush University Medical Center, Dr. Levy is leading efforts to create a learning healthcare system as part of the strategic direction for continuous discovery and improvement of cancer outcomes embedded into routine clinical practice. Precision cancer medicine implementation continues to be a driving use case for the learning systems framework, combining integration of genomic data into clinical workflows within the electronic health record, knowledge driven clinical decision support systems driven by the My Cancer Genome knowledge base, and infrastructures for secondary use of data for discovery both locally and as part of international data consortium.

Josh C. Mandel, MD is a physician and software developer working to fuel an ecosystem of health apps with access to clinical and research data. As Chief Architect for Microsoft Healthcare, Chief Architect for SMART Health IT, and Instructor at the Harvard Medical School Department of Biomedical Informatics, Josh works closely with the standards development community to lay groundwork for frictionless data access, authorization, analytics, and app integration. He led development of the SMART specification and launched the Clinical Decision Support Hooks project. As a member of the national Health IT Standards Committee, Josh showed a special interest in tools and interfaces that support software developers who are new to the health domain.

Dr. Shez Partovi obtained his medical degree from the prestigious McGill University, in Montreal, Canada and completed his neuroradiology subspecialty training at Barrow Neurological Institute in Phoenix, AZ. His undergraduate program was in a combination of Life Sciences and Computer Science. He is a serial entrepreneur and has launched a number of health IT companies, one of which was a telehealth company built on AWS. After a decade of clinical practice, Dr. Partovi transitioned into an executive role at the 4th largest health system in the US, where he served as its Chief Digital Officer/SVP of Digital Transformation. Dr. Partovi joined Amazon Web Services in 2018 as the Worldwide lead for Healthcare, Life Sciences and Genomics.

Suchi Saria is the John C. Malone Assistant Professor of computer science, statistics and health policy and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She is also the founding Research Director of the Malone Center for Engineering in Healthcare at Hopkins. She was invited to join the National Academy of Engineering’s Frontiers of Engineering in 2017 and more recently to the National Academy of Medicine’s Emerging Leaders in Health and Medicine. Her research focuses on developing next generation diagnostic and treatment planning tools that leverage statistical methods to individualize care. Towards this, her methodological work focuses on questions such as: How can we combine different sources of information with prior knowledge to derive actionable inferences? How can we characterize and improve reliability of the resulting inferences in challenging real- world settings? How can we support decision-making in safety-critical domains?



Her work has received recognition in numerous forms including best paper awards at machine learning, informatics, and medical venues, a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011), selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015), the DARPA Young Faculty Award (2016), MIT Technology Review’s ‘35 Innovators under 35’ (2017), the Sloan Research Fellowship (2018), and the World Economic Forum Young Global Leader (2018).  In 2017, her work was among four research contributions presented by Dr. France Córdova, Director of the National Science Foundation to Congress’ Commerce, Justice Science Appropriations Committee. Saria joined Hopkins in 2012. Prior to that, she received her PhD from Stanford University working with Prof. Daphne Koller.

Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, and an executive member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable the learning health system. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.

Scott Weingarten, MD, MPH, is Chief Executive Officer of Stanson Health, recently acquired by Premier, Inc., and consultant to the CEO at Cedars-Sinai. Stanson Health is a clinical decision support and analytics company which has been purchased by approximately 450 hospitals and is used by more than 100,000 providers. He is also a Professor of Medicine at Cedars-Sinai Health System and a Clinical Professor of Medicine at the David Geffen School of Medicine at UCLA.

Board certified in internal medicine and a fellow of the American College of Physicians, Dr. Weingarten has published approximately 100 articles and editorials on healthcare quality improvement, clinical decision support, and related topics, and has authored numerous chapters on improving the quality of patient care in some of the leading internal medicine textbooks. He has given more than 300 presentations on clinical decision support and related topics throughout the United States and internationally. He is a New England Journal of Medicine Catalyst “Thought Leader.”

Dr. Weingarten has held positions on myriad national committees dedicated to improving patient outcomes, including the National Academy of Medicine Committee on Clinical Decision Support, the Institute for Medical Quality, the American Heart Association’s "Get With The Guidelines" program, and the quality improvement committee of the board of directors of St. Joseph's Health System. He is currently a Board of Director for the Scottsdale Institute. At Cedars-Sinai, he has received the President’s Award, the Golden Apple Teaching Award, and Alumnus of the Year.

Dr. Weingarten was the co-founder, president and chief executive officer of Zynx Health, which was the leader for order sets and care plans for electronic health records. Scott sold Zynx Health to the Cerner Corporation and later to the Hearst Corporation in two successful “exits.” During Scott’s tenure as CEO, Zynx Health was one of the Hearst Corporation’s larger companies. He is a co-inventor of three software patents granted by the United States Patent and Trademark Office.

After graduating from UCLA’s medical school, Dr. Weingarten completed his internship, residency and fellowship in internal medicine at Cedars-Sinai. He later participated in a National Center for Health Services Research Fellowship at the RAND/UCLA Center for Health Policy Study. During the fellowship, he also earned a Master’s of Public Health degree at the UCLA Fielding School of Public Health.

Dr. Weingarten has also worked as a primary care physician at Kaiser Permanente and was awarded partnership status at Southern California Permanente Medical Group.