Past Grand Rounds

Danny Lee, M.D., practices internal medicine at Johns Hopkins Community Physicians Odenton. He received his medical degree from Albany Medical College, and completed residencies in radiation oncology at Mount Sinai Medical Center and internal medicine at University of Rochester Medical Center. Dr. Lee is board-certified in internal medicine.

Andrew Mellin, MD, MBA, is Vice President of Medical Informatics at Surescripts, where he helps the Surescripts Network Alliance improve the care experience for both providers and patients with a focus on technology and smart workflow solutions. Dr. Mellin has over 20 years of experience in health information technology, patient quality and safety, consumer health and EHR implementation and adoption. He is Board Certified in Internal Medicine and worked as a part-time hospitalist in St. Paul, MN for 15 years.

Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored more than 250 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. Sriram received several awards including: an NSF’s Presidential Young Investigator Award (1989); ASME Design Automation Award (2011); ASME CIE Distinguished Service Award (2014); the Washington Academy of Sciences’ Distinguished Career in Engineering Sciences Award (2015); ASME CIE division’s Lifetime Achievement Award (2016); and CMU CEE Lt. Col. Christopher Raible Distinguished Public Service Award (2018). Sriram is a Fellow of ASME, AAAS, IEEE and Washington Academy of Sciences, a Distinguished Member (life) of ACM and a Senior Member (life) of AAAI. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA.

The Center for Population Health IT (CPHIT) is a new interdisciplinary research and development center at Johns Hopkins. CPHIT seeks to improve the health and well-being of populations by advancing the state-of-the-art of Health IT across public and private health organizations and systems.

Malinda Peeples, MS,RN, CDE, FAADE is the Vice President of Clinical Services, Programs, and Research at WellDoc, a digital health company focused on chronic disease care. In this role at WellDoc over the last decade Malinda has been a leader and champion in the digital health arena. She has been at the forefront of defining the digital health domain and remodeling how practitioners implement these clinically effective and cost containing innovative tools. By background Malinda is a registered nurse, certified diabetes educator and clinical and informatics nurse specialist. She earned a Master’s degree and completed a postgraduate research fellowship in health sciences informatics at Johns Hopkins University School of Medicine. She currently serves as an Adjunct Assistant Faculty member in the Division of Healthcare Informatics at Johns Hopkins. Malinda has been a dedicated volunteer for numerous local and national professional organizations. In 2005-2006 she served as President of the American Association of Diabetes Educators and in 2018 she was awarded their Allen Van Son Distinguished Service Award.

Muhammad Abdul-Mageed is Assistant Professor of Computational Linguistics, Information Science, and Computer Science and Director of the Natural Language Processing Lab at the University of British Columbia (UBC). He is a core fundamental methods member of UBC Institute for Computing, Information and Cognitive Systems and Centre for Artificial Intelligence Decision-making and Action. His research focuses on developing novel deep learning methods for natural language socio-pragmatics, with a goal to build `social’ machines to enhance human health and well-being. Dr. Abdul-Mageed has published more than 40 research papers in the areas of natural language processing and deep learning of natural language. His research has been funded by Google, Social Sciences and Humanities Research Council of Canada, Natural Sciences and Engineering Research Council of Canada, and Canada Foundation for Innovation. Dr. Abdul-Mageed completed a dual Ph.D. in Computational Linguistics and Information Science at Indiana University in 2015. Before UBC, he was a Visiting Scholar in the Center for Computational Learning Systems, Columbia University (2010-2012), a Visiting Scholar in the Department of Computer Science at the George Washington University (2012-2015), a Visiting Assistant Professor in the School of Informatics and Computing, Indiana University (2015-2016), and a Visiting Scholar in the World Well-Being Project, University of Pennsylvania (2016-2018). He has been serving as a member of the standing reviewing committee for Transactions of the Association for Computational Linguistics (TACL) since 2013.

Sanjay Agravat, MS, PhD
Machine Learning Architect
Google Cloud
(Not webcasted but recorded- will update with a link for the recording)

Caitlin Carter, MLIS, is the Scholarly Communication and Open Access Policy Fellow at the William H. Welch Medical Library at Johns Hopkins University School of Medicine. After graduating from the University of Maryland, she began a career in IT government contracting before returning to Maryland to pursue her MLIS. At Maryland she worked in both a Collection Development role and in supporting the Open Access digital repository (DRUM) where she discovered the importance of scholarly communication and open access initiatives in academic libraries. Upon graduating she worked at Franklin & Marshall College as the Research and Scholarly Communications Librarian before returning to a research institution setting in 2018. At Franklin & Marshall, she grew interest in adopting and creating open educational resources, and started the campus' first Open Access Publishing Fund. Now at Johns Hopkins, her primary responsibilities are to socialize the new campus-wide Open Access Policy among faculty and to educate patrons about author rights and resources, open access publishing and open science.

Richard Schreiber, MD, FACP, is Associate Chief Medical Informatics Officer, Geisinger Health System, and Chief Medical Informatics Officer at Geisinger Holy Spirit in Camp Hill, PA, and is board certified in Clinical Informatics. He is an internist, geriatrician, educator, and researcher. He was previously in private practice, and now works part time as a hospitalist. He is the physician champion for the use and optimization of electronic health records (EHR) at GHS. He spearheaded physician EHR adoption and near universal computerized provider order entry (CPOE) for the first EHR which GHS utilized for over 10 years. Dr. Schreiber then led the transformation to a system-wide EHR which is essentially paperless. Dr. Schreiber is a Fellow of the American College of Physicians, a Diplomate of the American Board of Preventive Medicine (Clinical Informatics), has been board certified in Geriatrics, and is a member of the American Geriatrics Society, the American Medical Informatics Association, the Association of Medical Directors of Information Services, and HIMSS. He received the AMDIS Special Recognition in Applied Clinical Informatics award in 2014. His clinical informatics research focuses on clinical decision support, CPOE, drug-drug interaction alerting, documentation improvement, problem list curation, and CDS anomalies.

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. 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 and augment 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. She was invited to join the National Academy of Engineering’s Frontiers of Engineering in 2017 and more recently to theNational Academy of Medicine’s Emerging Leaders in Health and Medicine. Saria joined Hopkins in 2012. Prior to that, she received her PhD from Stanford University working with Prof. Daphne Koller.

Dr. Masoud Rouhizadeh is a Natural Language Processing expert at the Center for Clinical Data Analysis (CCDA), a Founding Member of the Center for Clinical Natural Language Processing (C2NLP), and a Faculty Instructor at the Center of Excellence Analytics in Medicine Program (CAMP) within the Johns Hopkins School of Medicine. He obtained his Ph.D. from Oregon Health and Science University (2015) and continued with postdoctoral training at the University of Pennsylvania (2017). His research focuses on text mining and information extraction methods to identify disease, medications, symptoms, and signs from clinical text, as well as artificial intelligence techniques for sentiment analysis, opinion mining, and exploring social determinants of health. He has also worked on detecting signals relevant to mental well-being and mental health conditions such as autism, depression, cognitive impairment, and dementia.

Jim Jellison
Mary Ann Cooney, RN, MPH
John Stinn, MBA
Walter Suarez, MD
Roland Gamache, PhD, MBA