The Roam Health Knowledge Graph™
Our knowledge graph powers every solution at Roam by providing vital context for doctor, hospital, drug, device, and patient data.
Rather than relying on costly, inefficient ad-hoc analytics, our knowledge graph is able to rapidly explore hypotheses that might otherwise go overlooked.
Billions of disparate data points exist within the healthcare industry's network of clinical studies, government health data, demographic and geographic information, and academic research.
The Roam Health Knowledge Graph™ is powered by proprietary technology that provides an integrated, coherent view across data sources to equip life sciences companies with the straightforward answers they need to make the best decisions possible.
Chief Executive Officer
Chief Executive Officer | Co-Founder
Alex is the Co-Founder and Chief Executive of Roam. Before Roam, Alex co-founded and served as Chief Executive of Frontier Strategy Group (FSG), a venture-backed data and analytics company focused on emerging markets that currently serves more than 250 leading multinationals.
Alex and his family immigrated to the United States from the Soviet Union in 1988. He holds B.A. and M.A. degrees in International Relations from Stanford University and a J.D. from the Yale Law School.
Co-Chief Scientist | Co-Founder
Andrew recently completed his Ph.D. in Computer Science from Stanford University, where he was advised by Andrew Ng. His research focuses on large scale deep learning to solve some of the most challenging problems in data analytics and forecasting, speech recognition, natural language processing, and computer vision.
Andrew developed machine learning systems in industry for Coursera, where he built biometric classifiers; and IBM Research, where he built speech recognition systems capable of learning new languages quickly. Andrew received his B.Sc. from Carnegie Mellon in 2009 in Computer Science and Cognitive Science.
Chris Potts is Professor of Linguistics and, by courtesy, of Computer Science at Stanford University. He is also Director of the Center for the Study of Language and Information (CSLI) at Stanford. In his research, Chris develops computational models of linguistic reasoning, emotional expression, and dialogue. He is author of the book The Logic of Conventional Implicatures as well as numerous scholarly papers in linguistics and natural language processing.
Chris received his B.A. in Linguistics from New York University and his Ph.D. in Linguistics from the University of California, Santa Cruz.
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