Yves A Lussier is a leader in translational bioinformatics, actively prompting the field by developing international conferences and sessions (PSB session chairs, co-founder and chair of the AMIA Summit on Translational Bioinformatics and of the Translational Bioinformatics Conference). Recently, his research group used eMERGE dataset to validate synergistic and antagonism variants predicted from eQTL datasets for several diseases. Lussier group also conducts knowledge discovery from electronic health records and leverages discoveries from genomics, proteomics for nearly two decades. He is a key investigator of the Arizona All of Us Research Program (Precision Medicine Initiative). He has authored over 150 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and the GenomeWeb Magazine. Dr. Lussier was inducted Fellow of the American College of Medical Informatics in 2005, and in 2013, he was also recognized by the Obama Administration among ten scientists invited at the White House for the launch of the Precision Medicine Initiative. Dr. Lussier trained in robotics engineering at The University of Sherbrooke, worked as a software engineer at Bell and IBM, received at The University of Sherbrooke, trained in Family Medicine at Children's Hospital Boston, then conducted hi MRC-funded post-doctoral degree at Columbia University.
Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Institute for Computational Health Sciences at the University of California, San Francisco (UCSF). Dr. Butte is also the Executive Director for Clinical Informatics across the six University of California Medical Schools and Medical Centers. Dr. Butte has authored over 200 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and Wired Magazine. Dr. Butte was elected into the National Academy of Medicine in 2015, and in 2013, he was recognized by the Obama Administration as a White House Champion of Change in Open Science for promoting science through publicly available data. Other recent awards include the 2014 E. Mead Johnson Award for Research in Pediatrics, 2013 induction into the American Society for Clinical Investigation, and the 2011 National Human Genome Research Institute Genomic Advance of the Month. Dr. Butte is also a founder of three investor-backed data-driven companies: Personalis, providing medical genome sequencing services, Carmenta (acquired by Progenity), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. Dr. Butte is a principal investigator of three major programs: (1) the California Initiative to Advance Precision Medicine, implementing Governor Brown’s vision to promote precision medicine in California; (2) ImmPort, the clinical and molecular data repository for the National Institute of Allergy and Infectious Diseases; and (3) the California Precision Medicine Consortium, helping recruit tens of thousands of participants into President Obama's AllofUs Precision Medicine Initiative. Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children's Hospital Boston, then received his PhD from Harvard Medical School and MIT.
Jason Moore is the Edward Rose Professor of Informatics and Director of the Penn Institute for Biomedical Informatics. He also serves as Senior Associate Dean for Informatics and Chief of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics. He came to Penn in 2015 from Dartmouth where he was Director of the Institute for Quantitative Biomedical Sciences. Prior to Dartmouth he served as Director of the Advanced Computing Center for Research and Education at Vanderbilt University where he launched their first high-performance computer. He has a Ph.D. in Human Genetics and an M.S. in Applied Statistics from the University of Michigan. He leads an active NIH-funded research program focused on the development of artificial intelligence and machine learning algorithms for the analysis of complex biomedical data. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American College of Medical Informatics (ACMI), an elected fellow of the American Statistical Association (ASA), and was selected as a Kavli fellow of the National Academy of Sciences. He serves as Editor-in-Chief of the journal BioData Mining.
Rong Chen has developed many databases, software, and patents to drive clinical diagnosis, precision medicine, and therapeutic target discovery. He has developed many tools to automate variant pathogenicity assessment and clinical report generation for a wide variety of genetic testing, from inherited diseases to cancer. He has also mined millions of patients’ electronic medical records and physician reports to guide treatment selection, and led the Resilience Project, a study designed to identify genetic ‘superheroes’ in more than 589,000 individuals, and a personalized cancer therapy project for precision medicine.
Haiquan Li is an Assistant Professor of Medicine at The University of Arizona. He has conducted translational bioinformatics since 2010. He earned his PhD in bioinformatics and data mining and a graduate certificate in statistics. He has conducted extensive professional service to the research community by serving as a Program Committee Member for international conferences in bioinformatics (e.g., Translational Bioinformatics Conference) and data mining. He also wrote meeting reports three times for ISMB as invited by Genome Biology. He has published studies based on eMERGE and is the PI of an approved UK Biobank access application.