Danton Samuel Char

Biography
Danton Char is a pediatric cardiac anesthesiologist, clinical researcher, and empirical bioethics researcher at Lucile Packard Children's Hospital and Stanford University. He focuses on improving the lives of infants, children, and adults with complex congenital cardiac disease and supporting the well-being of their caregivers and families. His research also focuses on identifying and addressing ethical concerns arising with implementation of next generation technologies to bedside clinical care for all patients, including genomic testing, artificial intelligence/machine learning, and mechanical circulatory support.

Jadwiga Bienkowska

Biography
Dr. Jadwiga Bienkowska is a Head of Computational Biology at Pfizer, Oncology Research and Development. Dr. Bienkowska has over 20 years of experience working in Pharma and Biotech. Over her career she has built and led teams of biologists, data scientists and engineers applying at-scale Computation, Machine Learning and AI to drug development problems. At ORD Dr. Bienkowska focuses on development of breakthrough therapies for Cancer. Dr. Bienkowska’s team works with biologists and clinicians on decoding multimodal data into interpretable models of mechanisms driving cancer progression and resistance to treatment. Insights generated by these models accelerate drug development through new target discovery, MOA studies, patient, and biomarker selection strategies. Dr. Bienkowska contributed to development of therapies for Cancer, Neurological and Immune diseases.

Vivek Natarajan

Biography
Vivek Natarajan is a Research Scientist at Google DeepMind leading research at the intersection of AI, science and medicine. In particular, Vivek was the lead researcher behind Med-PaLM and Med-PaLM 2, which were the first AI systems to obtain passing and expert level scores on US Medical License exam questions respectively. Med-PaLM was published in Nature in 2023 and has been featured in The Scientific American, Wall Street Journal, The Economist, STAT News, CNBC, Forbes, New Scientist among others. Vivek co-leads Project AMIE with Dr Alan Karthikesalingam at Google, a research effort aiming to build and democratize conversational, multimodal, diagnostic and empathetic medical super intelligence. Two papers from Project AMIE were recently published in Nature with the AI system surpassing primary care physicians in performing medical consultations in simulated settings. Finally, Vivek recently co-led the development of the AI co-scientist, a system designed to be a virtual AI collaborator for scientists. Outside of Google, Vivek is also part of the faculty for executive education at Harvard T.H. Chan School of Public Health in a part-time capacity.

Brian Anderson

Biography
Brian Anderson, MD (Harvard) is the chief executive officer and co-founder of the Coalition for Health AI (CHAI), a non-profit coalition. CHAI is focused on developing a set of consensus-driven guidelines and best practices for Responsible AI in Health, as well as supporting the ability to independently test and validate AI for safety and effectiveness. Previously, he was the chief digital physician at MITRE, where he led work during the COVID-19 pandemic, working closely with the White House COVID-19 Task Force and Operation Warp Speed. He also led MITRE’s largest R&D effort in oncology, focusing on the development of mCODE. Anderson is an international author and speaker with expertise in digital health. He has also served on national and international health information technology committees in partnership with the Office of the National Coordinator (ONC), the National Institutes of Health (NIH), and the Organization for Economic Cooperation and Development (OECD).

Mark Sendak

Biography
Mark is the Co-Founder and CEO of Vega Health and the co-lead of Health AI Partnership. His work focuses on advancing the safe and effective use of AI in community and rural settings. He spent nearly 11 years at Duke leading interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems. Together with the DIHI team, he has integrated dozens of data-driven technologies into clinical operations. Mark has published over 60 manuscripts in top technical, clinical, and management venues and while at Duke secured over $12 million in external grant funding from government, philanthropic, and industry sources. He obtained his Bachelor’s of Science in Mathematics from UCLA, where he was awarded the Charles E. Young Humanitarian Award, the top honor for community service, and his MD and Masters of Public Policy at Duke University as a Dean’s Tuition Scholar.

Shiv Rao

Biography
Shiv Rao, MD, is the Founder and CEO of Abridge. Shiv is a practicing cardiologist at UPMC. He previously led the provider-facing investment portfolio for UPMC where he invested in startups, and also helped fund a Machine Learning in Health program at Carnegie Mellon University.

Munjal Shah

Biography
Munjal Shah is the co-founder and CEO of Hippocratic AI, A generative artificial intelligence startup focused on building foundation models for health care and using it to improve patient outcomes, lower health care costs, and address the growing shortage of health care workers worldwide. Founded by generative AI researchers, hospital administrators, physicians, and Medicare experts, Hippocratic AI has developed a safety-focused large language model to provide nondiagnostic health care services. Its large language model outperformed Open AI’s GPT-4 on 105 of 114 health care exams and certifications. Hippocratic AI has received a total of $120M in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, and SV Angel. Read more and stay up to date on his latest AI research at munjalshah.com

Ziad Obermeyer

Biography
Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley. His research uses machine learning to help doctors make better decisions, and help researchers make new discoveries—by ‘seeing’ the world the way algorithms do. His work on algorithmic racial bias has impacted how many organizations build and use algorithms, and how lawmakers and regulators hold AI accountable. He is a cofounder of Nightingale Open Science and Dandelion Health, a Chan Zuckerberg Biohub Investigator, a Faculty Research Fellow at the National Bureau of Economic Research, and was named an Emerging Leader by the National Academy of Medicine. Previously, he was Assistant Professor at Harvard Medical School, and continues to practice emergency medicine in underserved communities.

Joshua Denny

Biography
Dr. Denny's research interests include use of electronic health records (EHRs) and genomics data from large-scale biobanks such as Vanderbilt's BioVU, eMERGE, the All of Us Research Program, and UK Biobank to better understand disease and drug response. Prior to joining the NIH in 2020, Josh was a Professor of Biomedical Informatics and Medicine, founding Director of the Center for Precision Medicine, and Vice President for Personalized Medicine at Vanderbilt University Medical Center, where he was both a practicing internist and research scientist. Josh's lab and center focused on the secondary use of EHR data for discovery, including the development of phenome‐wide association studies (PheWAS), phenotype risk scores (PheRS), work he is continuing here at NHGRI. He has also led efforts implementing precision medicine to improve patient outcomes by helping launch the prospective PREDICT pharmacogenomics program at Vanderbilt and within the NHGRI IGNITE Network. Dr. Denny was the recipient of the Homer Warner award from the American Medical Informatics Association (AMIA) in 2008 and 2009 and AMIA New Investigator Award in 2012. He is an elected member of the National Academy of Medicine, the American College of Medical Informatics, and the American Society for Clinical Investigation. He currently serves as the Chief Executive Officer of the National Institutes of Health's All of Us Research Program.