Tiffani J. Bright, PhD, FACMI

Co-Director, Center for Artificial Intelligence Research, Department of Computational Biomedicine, Cedars-Sinai Medical Center

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Isaac Kohane, MD, PhD

Chair of the Department of Biomedical Informatics, Harvard Medical School

Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School

Associate Professor of Medicine, Brigham and Women's Hospital

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David Bray, PhD

Loomis Council Co-Chair & Distinguished Fellow 

Dr. David A. Bray is both a Distinguished Fellow and co-chair of the Alfred Lee Loomis Innovation Council at the non-partisan Henry L. Stimson Center

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Tiffani J. Bright, PhD, FACMI

Co-Director, Center for Artificial Intelligence Research, Department of Computational Biomedicine, Cedars-Sinai Medical Center

Dr. Tiffani J. Bright is a Research Scientist II at Cedars-Sinai Medical Center, where she also co-directs the Center for Artificial Intelligence Research and Education. A renowned expert in applied clinical informatics, she excels in the design and evaluation of clinical decision support systems and the optimization of electronic health records. Dr. Bright earned her PhD in Biomedical Informatics from Columbia University and completed a Post-Doctoral Fellowship at Duke University. Notably, she is the first Black woman to earn a doctorate in this field in the U.S.; she is also the first from Columbia University. Prior to her current role, she led the Biomedical Informatics Evaluation Team at IBM Watson Health. Dr. Bright was the inaugural Chair of the Diversity, Equity, and Inclusion Task Force and Committee for the American Medical Informatics Association (AMIA) and was honored with the prestigious 2021 AMIA Leadership Award for her contributions to developing a diverse and inclusive informatics workforce. Her research interests include artificial intelligence, algorithmic bias, and human-computer interaction in healthcare settings. With her unique expertise and accolades, Dr. Bright is a trailblazer in both healthcare technology and social equity.

Isaac Kohane, MD, PhD

Chair of the Department of Biomedical Informatics, Harvard Medical School

Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School

Associate Professor of Medicine, Brigham and Women's Hospital

Isaac “Zak” Kohane, MD, PhD, is the inaugural chair of Harvard Medical School’s Department of Biomedical Informatics, whose mission is to develop the methods, tools, and infrastructure required for a new generation of scientists and care providers to move biomedicine rapidly forward by taking advantage of the insight and precision offered by big data. Kohane develops and applies computational techniques to address disease at multiple scales, from whole health care systems to the functional genomics of neurodevelopment. He also has worked on AI applications in medicine since the 1990’s, including automated ventilator control, pediatric growth monitoring, detection of domestic abuse, diagnosing autism from multimodal data and most recently assisting clinicians using whole genome sequence and clinical histories to diagnose rare or unknown disease patients. He is the inaugural Editor-in-Chief of the New England Journal of Medicine AI and co-author of a recent book “The AI Revolution in Medicine. " He is a member of the National Academy of Medicine, the American Society for Clinical Investigation and the American College of Medical Informatics. 

Amar Das, MD, PhD, FACMI, FAMIA

Vice President, Real World Evidence, Guardant Health

Dr. Amar Das is Vice President, Real World Evidence at Guardant Health. He has three decades of experience in advancing clinical research using AI, informatics and epidemiology, now focused on precision oncology. Prior to Guardant Health, Dr. Das was a faculty member at Stanford University Medical School and at the Geisel School of Medicine at Dartmouth. At Dartmouth, he served as Director of the Division of Biomedical Informatics within the Department of Biomedical Data Science, which he cofounded. Following his career in academia, he served as Director of Healthcare Effectiveness Research at IBM Research and Director of Real World Data Analytics and Innovation at Merck Research Laboratories. Dr. Das has received multiple professional and research awards and is both a Fellow of the American College of Medical Informatics and of the American Medical Informatics Association. 

Mark G. Weiner, MD, FACMI

Deputy CIO for Health System and Research Analytics, Professor of Clinical Population Health Sciences and Medicine; Weill Cornell Medicine, New York-Presbyterian

Dr. Weiner is a practicing general internist and research informaticist with 30 years experience working at the nexus between health services research and medical informatics.  He is the MPI and informatics lead for INSIGHT, the PCORI-funded Clinical Research Network encompassing the 5 major academic medical centers in New York City.  He is also the MPI and informatics lead for the PCORnet Adult RECOVER initiative, part of the NIH RECOVER project that is exploring the risk factors, characteristics and outcomes of patients with the Post Acute Sequelae of SARS-CoV-2 (PASC).  His work focuses on the appropriate applications of real world data toward generation of real world evidence, including recognition and remediation of data quality, bias and fitness for use.

Robert Stolper

Managing Principal, Head of Enterprise Transformation Strategy, IQVIA

Robert Stolper is Managing Principal and Head of Enterprise Transformation Strategy at IQVIA. He brings almost 25 years of experience partnering with biopharmaceutical companies to build innovative clinical development and commercialization strategies at the enterprise, portfolio, and product level. He has a particular focus and interest in facilitation of strategic decision making using advanced analytics, including AI, and has experience leveraging a range of real-world datasets to improve diagnosis and treatment of patients across diseases.  Prior to IQVIA, Rob has held leadership positions in AIML healthcare start-ups and global strategy consulting firms. He is a graduate of Harvard University with a degree in Biochemical Sciences.

Sheela Kolluri, PhD

Clinical Domain Lead, Artificial Intelligence, Data & Analytics (AIDA), Pfizer Digital

Dr. Sheela Kolluri has over 20 years of experience in pharmaceutical drug development, with a focus on leadership in Statistics, Data & Quantitative Sciences. During this time, Sheela has also held adjunct faculty (teaching) positions in Academia. Currently she is the Clinical Domain Lead in the Artificial Intelligence, Data & Analytics (AIDA) organization at Pfizer. In this role she drives the enterprise AI, Machine-learning, Data & Analytics strategy for clinical drug development at Pfizer. Her remit also includes development of policy and guidance around responsible AI at Pfizer. Prior to this, Sheela has held several industry leadership roles in the fields of Statistics, Real World Evidence (RWE), Data-Sciences and Biometrics. At Teva Pharmaceuticals, Sheela was the Global Head of Clinical & RWE Statistics and Programming. Her other leadership roles included VP, Global Head of Internal Medicine & Hospital Statistics at Pfizer and Global Head of GI Statistics at Takeda’s Data Science Institute. A primary focus of her leadership roles was to drive innovation in quantitative decision-making, trial design and RWE applications, in addition to strategy for AI/ML and Advanced Analytics in drug-development. She has led regulatory submissions for new drug applications in multiple disease areas. Sheela’s leadership experience includes developing SOPs, standards and analytic tools for clinical development, including data-governance and bioethics. Given her passion for teaching, she is currently an adjunct (teaching) faculty member at Columbia University in their Applied Analytics Program. Previously she was an adjunct faculty member in the Department of Statistics in Columbia University.  As an active member of the Statistical community, she is the Vice-President of the New York City Metro Area Chapter of the American Statistical Association (ASA) and a member of the ASA Biopharmaceutical Section Funding Committee. Sheela received her Ph.D. in Biostatistics from the University of Iowa (Iowa City, IA).

Dean Sittig, PhD

Biomedical Informatics, University of Texas Health Science Center

Dean F. Sittig is a Professor in the School of Biomedical Informatics at the University of Texas Health Science Center in Houston, TX. He received his PhD in Medical Informatics from the University of Utah. His research interests center on design, development, implementation, and evaluation of all aspects of clinical information and communication systems with a special emphasis on electronic health records and clinical decision support. He has spent his career working to improve our understanding of both the factors that lead to success, as well as, the unintended consequences associated with various forms of health information technology. He has spent considerable time studying various aspects of computer-based provider order entry with clinical decision support including factors that lead to success as well as the unintended consequences of their use. Most recently he has focused his efforts on developing guidelines for the safe and effective implementation and use of electronic health records (EHRs) that are based on an 8-dimension socio-technical model that he developed with Hardeep Singh. This work led to the development of the SAFER guides that were designed to help healthcare organizations conduct pro-active risk assessments of their EHRs. He occasionally serves as an expert witness in legal matters that involve analysis of EHRs. He recently co-authored the following books, “Improving Outcomes with Clinical Decision Support: An Implementer's Guide, Second Edition”, “Improving Medication Use and Outcomes with Clinical Decision Support”, “Clinical Information Systems: Overcoming Adverse Consequences”, “Electronic Health Records: Challenges in Design and Implementation” and most recently “SAFER Electronic Health Records: Safety Assurance Factors for EHR Resilience”.

Gretchen Purcell Jackson, MD, PhD, FACS, FAMCI, FAMIA

President and Board Chair, AMIA

Vice President and Scientific Medical Officer and Associate Professor, Intuitive Surgical, Vanderbilt University Medical Center

Gretchen Purcell Jackson, MD, PhD, FACS, FAMCI, FAMIA is Vice President and Scientific Medical Officer at Intuitive Surgical and an Associate Professor of Surgery, Pediatrics, and Biomedical Informatics at the Vanderbilt University Medical Center. She is President and Chair of the Board of Directors for the American Medical Informatics Association (AMIA) and an elected fellow of the American College of Medical Informatics (ACMI). Dr. Jackson is board certified in general, pediatric surgery, and clinical informatics. Her research interests are consumer health informatics and evaluation of artificial intelligence and other digital solutions for healthcare.

Sayon Dutta, MD, MPH

Assistant Professor of Emergency Medicine, Massachusetts General Hospital

Physician Lead, Emergency Medicine and Clinical Decision Support, Mass General Brigham Digital

Sayon Dutta, MD, MPH is an Assistant Professor of Emergency Medicine at Massachusetts General Hospital and serves as the physician lead for Emergency Medicine and Clinical Decision Support at Mass General Brigham Digital.  He completed training in Emergency Medicine at the Harvard Affiliated Emergency Medicine Residency and then joined as a research fellow at MGH during which time he earned a MPH in Quantitative Methods at the Harvard School of Public Health. As a fellow, he focused primarily on the role of information technology in humanitarian response.  Specifically, he investigated telemedicine applications in resource-poor settings, and the role of participatory mapping technologies during large-scale disasters. He subsequently joined the faculty at MGH and Harvard Medical School and performs research on the impact of clinical decision support within the electronic health record, with a special interest in the development, evaluation, and deployment of machine learning models.

Amy Price, PhD

BMJ Research Editor (Patient and Public Partnership)

Senior Research Scientist, Stanford School of Medicine

Dr. Amy Price worked as a Neurocognitive Rehabilitation consultant and in International Missions before sustaining serious injury and years of rehabilitation. She emerged with an interest in AI and a goal to build a bridge between research methodology, research involvement and public engagement where the public is trained and empowered to be equal partners in health research. She is currently training 20 teams of investigators to work together in research innovation and implementation. Amy’s experience has shown her that shared knowledge, interdisciplinary collaboration, and evidence-based research will shape and develop the future. She serves as a BMJ Research Editor (Patient and Public Partnership) and is a Senior Research Scientist at Stanford School of Medicine.

Madeleine Clare Elish, PhD

Head of Responsible AI, Google Cloud

Madeleine, is a cultural anthropologist with a background in researching the social impacts of AI and automation on society. She joined Google as a senior research scientist, and now leads Cloud's Responsible AI work. She currently serves on the Executive Committee of the ACM Conference on Fairness, Accountability, and Machine Learning (FAccT). Previously, she led an AI research and policy team at Data & Society Research Institute, a think tank focused on the power and purpose of technology in society. Her work has been published and cited in scholarly journals as well as publications including The New York Times, Wired, and MIT Tech Review. She holds a doctorate in anthropology from Columbia University and a Master of Science in comparative media studies from the Massachusetts Institute of Technology.

Paul Barr, PhD

Associate Professor, The Dartmouth Institute for Health Policy & Clinical Practice, Biomedical Data Science

Member of the Center for Technology and Behavioral Health, Geisel School of Medicine

Dr. Barr is an Associate Professor in The Dartmouth Institute for Health Policy & Clinical Practice, Biomedical Data Science, and a member of the Center for Technology and Behavioral Health, Geisel School of Medicine. He is trained in quantitative and qualitative methods with more than 60 peer-reviewed publications (including in the BMJ, JAMA, JAMIA Open and NEJM), and significant funding from the National Institutes of Health (NIH) and the Patient Centered Outcomes Research Institute (PCORI). His research portfolio includes the development and implementation of measures of shared decision making (SDM), the user centered design and evaluation of patient facing digital interventions to support patient centered communication. In 2015 he formed OpenRecordings, a multidisciplinary group of researchers, clinicians, and patients to evaluate potential clinical utility of audio/video recordings of healthcare visits. Dr. Barr is currently PI/MPI of two multicenter trials to determine the impact sharing clinic visits with older adults on their health outcomes. He and his team have also developed novel software, HealthPAL, a comprehensive audio personal health library that supports sharing of clinic visit recordings with patients and applies natural language processing (NLP) to automatically identify key information in the visit, linked to trustworthy, patient-friendly information. He is also an MPI of an NIA funded R01 project, where he plans to refine HealthPAL, adding NLP features to promote greater patient centered communication for patients living with dementia and their care partners.