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PresenterAffiliationemailTopic title: SummaryBio's
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Isaac KohaneHMSisaac_kohane@hms.harvard.edu
Keynote: Al Revolution in Medicine:GPT-4 & Beyond
Isaac (Zak) Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School. He served as co-author of the Institute of Medicine Report on Precision Medicine that has been the template for national effort. He recently has taken the title of Editor-In-Chief of a new journal from the New England Journal of Medicine entitled NEJM AI

Over the last 30 years, Zak’s research agenda has been driven by the vision of what biomedical researchers could do to find new cures, provide new diagnoses and deliver the best care available if data could be converted more rapidly to knowledge and knowledge to practice. In so doing, Kohane has designed and led multiple internationally adopted efforts to “instrument” the healthcare enterprise for discovery and to enable innovative decision-making tools to be applied to the point of care. At the same time, the new insights afforded by ’omic-scale molecular analyses have inspired him and his collaborators to work on re-characterizing and reclassifying diseases such as autism, rheumatoid arthritis and cancers. In many of these studies, the developmental trajectories of thousands of genes have been a powerful tool in unraveling complex diseases.

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Shawn MurphyMGH, HMSmurphy.shawn@mgh.harvard.eduAI/MI - Digital twin journeyDr Murphy is also Professor of Neurology and Biomedical Informatics at Harvard Medical School. He has developed the initial Research Patient Data Registry (RPDR) for Partners HealthCare, a large data warehouse with 7 million patients and 3 billion rows. Dr. Murphy is the chief architect of the NIH Sponsored Informatics for Integrating Biology and the Bedside (i2b2).
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Griffin WeberBIDMC, HMSgriffin_weber@hms.harvard.eduAI/MI - Digital twin journeyDepartment of Medicine, Interdisciplinary Medicine and Biotechnology (IMBIO), Beth Israel Deaconess Medical Center. Previously, Dr Weber was Chief Technology Officer at Harvard Medical School and Director of the Biomedical Research Informatics Core (BRIC) Beth Israel Deaconess Medical Center. Dr Weber was the original author of the i2b2 WebClient.
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Jeff KlannMGBjklann@partners.orgNext Generation ENACT Network, i2b2 on OMOP, ETL Working GroupDr. Klann has worked with i2b2 for ten years, developing a research agenda that uses i2b2 as a substrate for data analytics, multi-site research networks, software architecture, data standards, and interoperability. His recent appointment as the Director of i2b2 Core Platform Development will allow him to apply his personal experience in large-scale i2b2 projects to improve the core product. In this position, he hopes to engage the vibrant user community, increase the openness and visibility of the software, and to continue to make the core platform relevant to evolving users’ needs.

Dr. Klann is an Assistant Professor of Medicine at Harvard Medical School and in the Massachusetts General Hospital Laboratory of Computer Science. He holds a BS and MEng in Computer Science from MIT and a PhD from Indiana University in Health Informatics. He completed an NLM Research Training Fellowship concurrently with his PhD.
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Hossein EstiriMGHhestiri@mgh.harvard.eduNew algorithm & use case for the Transitive Sequence Pattern Mining Algorithm (tSPM+)Assistant professor of medicine at Harvard Medical School, and a member of the research staff at the MGH Laboratory of Computer Science. He is a computational demographer, data scientist, and clinical research informaticist who applies a variety of data science methodologies—including geo-spatial and statistical learning techniques—to develop computational models that explain complex demographic, ecological, and health outcomes. His current work focuses on architecting visual analytics applications to explore data quality in electronic health records data and characterize patients using statistical learning techniques and data science methodologies.
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Abu MosaUniveristy of Missourimosaa@health.missouri.edui2b2 on PCORnetAbu Mosa, PhD - Dr. Abu Saleh Mohammad Mosa is the Director of Research Informatics at the University of Missouri (MU) School of Medicine. Dr. Mosa, also, has an affiliate faculty appointment in the MU Informatics Institute and an adjunct appointment in the Electrical Engineering and Computer Science department at MU. He is the lead informatician for building the research informatics infrastructure at the MU SOM. Dr. Mosa’s research involves developing the capabilities to implement REDCap, i2b2 (600,000 patients record from the EMR), HealthFacts (a de-identified data set with over 60 million patient records pulled from Cerner clients), SAS 9.4 data analytic server, and secured high performance computing capabilities. He has published more than 16 refereed publications (13 journal articles and 3 full-length conference proceedings) in health/medical informatics. Dr. Mosa is the site-PI for MU’s participation in the Greater Plains Collaborative, which is a Clinical Data Research Network (CDRN) funded by the Patient Centered Outcomes Research Institute (PCORI). He is also currently leading three projects funded by Missouri Department of Health and Senior Services and Roche Molecular Systems. He is a co-investigator on NIH, AHRQ and PCORI funded studies for enterprise-wide large scale electronic data capture and healthcare data management studies.
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Vasanthi MandhadiUniversity of Missourimandhadiv@health.missouri.edui2b2 on PCORnethttps://www.linkedin.com/in/vasanthir/
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Shyam Visweswaran University of Pittsburghshv3@pitt.eduNext Generation ENACT NetworkDr. Visweswaran trained as a physician in India, completed a residency in neurology at the Boston University Medical Center, and obtained a PhD in Intelligent Systems in 2007 at the University of Pittsburgh. Upon graduation, he joined the faculty at the University of Pittsburgh’s newly formed Department of Biomedical Informatics, where he contributed to the development of the graduate curriculum for informatics students. Dr. Visweswaran’s research focuses on application of machine learning to biomedicine with a specific focus on developing machine learning-based clinical decision support, precision medicine and personalized modeling, data mining and causal discovery from biomedical data, and research data warehousing. He initiated a NLM-funded research program on developing a learning electronic medical records (EMR) system that uses machine learning to provide decision support using the right data, at the right time. In the Department of Biomedical Informatics, I serve as the Director of the Machine Learning in Medicine Center (MLMC) and as the Director of the Center of Clinical Research Informatics (CCRI). He serves as the Director of the Biomedical Informatics Core for the University of Pittsburgh Clinical and Translational Science Institute, as a PD/PI for the All of Us Pennsylvania research project, as the Data Harmonization lead for the Accrual of patients to Clinical Trials (ACT) network, and directs the development of an EMR data warehouse called Neptune.
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Christian ReichOHDSIc.reich@northeastern.eduOHDSI Community Christian Reich is a physician-informaticist with deep expertise in ontology and data model development, oncology research, and building open study networks for real-world evidence (RWE). He is a principal investigator of OHDSI and served as program manager and principal investigator at OMOP. Reich is responsible for the design and construction of the OMOP Standardized Vocabularies and leads the Common Data Model Working Group.
Reich holds his MD and doctorate from the Medical University of Lübeck, Germany, where his research focused on T-cell activation and regulation. His training includes a bachelor’s degree in preclinical training from Humboldt University in Berlin. He was a practicing physician in Berlin and Ulm, Germany before moving to the European Bioinformatics Institute to work on the Human Genome Project. In 1998, he joined the biotech industry, where in various positions he took on challenges in drug research and development, such as gene sequence and expression analysis, clinical trial design and analysis, systems biology, and outcomes research, applying computational methods to large-scale biological data.
As a professor of the practice, Reich brings more than 20 years of experience in life sciences research and medicine to Northeastern. He most recently served as a vice president of real-world technology for IQVIA, a life sciences data analytics company, where he was responsible for building open OHDSI study networks for RWE generation as a service, including enabling technology solutions.
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Eric S. RosenthalMGHerosenthal@mgh.harvard.eduBridge to AIEric S. Rosenthal, MD, serves as Medical Director of the Neurosciences Intensive Care Unit at Massachusetts General Hospital.

Dr. Rosenthal is board certified in neurology, neurocritical care, and epilepsy. He sees patients in the MGH Neurosciences ICU, and as part of the MGH Neurology Divisions of Clinical Neurophysiology and Neurocritical Care. His clinical interests include traumatic brain injury (TBI), subarachnoid hemorrhage (SAH), acute stroke, intracerebral hemorrhage, and seizure disorders in critically ill patients, including status epilepticus and seizure-spectrum patterns

Academically, Dr. Rosenthal is principal investigator of the MGH ICU Precision Medicine Lab, whose mission is to develop treatments to prevent secondary neuronal injury after acute brain injury by characterizing physiologic biomarkers of poor outcome. He performs this work as ICU Director of the MGH Clinical Data Animation Center and as faculty within the Center for Neurotechnology and NeuroRecovery, focusing on acquisition and analysis of telemetry waveform, EEG, medication administration, and contextual electronic health record data, linking these to clinical outcomes. using this data at MGH and through national consortia, his work aims to develop approaches that individualize patient care as well as develop and test new therapies. This work is supported by the National Institutes of Health and the United States Department of Defense

Dr. Rosenthal graduated from Harvard Medical School. He completed his residency at the Harvard/Mass General Brigham Neurology Residency Training Program, and completed fellowships training within the MGH/BWH/Harvard Neurocritical Care Fellowship Training Program, the MGH Epilepsy Fellowship Training Program, and the MGH Clinical Neurophysiology Fellowship Training Program.
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Michael Lin Mayo Cliniclin.woontzumichael@mayo.eduPlugin Success StoryMichael has worked in Research Biomedical Informatics for more than 20 years and worked as both a software engineer and operational and business manager for 12 years prior. Currently he leads the CCaTS Informatics Core (funded by NIH’s CTSA grant) and Research Information Security Unit at Mayo Clinic.
His passion is in applying informatics science in the development of effective and innovative solutions to support clinical research operations and to solve real world challenges related to the entire clinical research life cycle. Applying a combined strategy of staying informed of the technology trend, working in collaboration with both intermural and extramural colleagues and finding the balance between commercial solutions, consortium-based solutions and home-grown solutions. Overtime, his team has implemented REDCap and i2b2/SHRINE at Mayo Clinic and developed, support and continuously enhance many informatics solutions such as CRTU Tools, PTrax, clinicaltrials.gov registry system, START tool, Intramural Award management system, etc. In the more recent years, they developed solutions that leverage NLP and machine learning technology. A noteworthy example is the Rare Disease Study Identification System that identifies and annotates IRB-approved studies that involve rare diseases. Moving forward, his goal is to work closely with Mayo’s NLP and machine learning experts to operationalize these cutting-edge technologies in the development of innovative informatics solutions to support the needs of Mayo researchers.
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Mark AbajianIT Consultantmabajian@mac.com
(818) 726-0372 mobile
https://www.linkedin.com/in/markabajian/ 		SEDoH ontology and toolkitMark Abajian is an independent IT consultant with over 30 years in software development and system administration. From 2018-2022 he was with the Clinical Research Informatics team at the University of Southern California, where he streamlined the i2b2 and SHRINE services for Keck Medicine of USC, cementing their participation in the ACT & LADR federated i2b2 networks. Mark assisted development of the ACT COVID-19 Ontology. He advanced Keck’s research in Social and Environmental Determinants of Health (SEDoH) by developing an i2b2 ontology for this; and he developed i2b2 ontologies for other domains as well.

Mark earned his BA in Mathematics and Computer Science from California State University, Los Angeles. From 1995-2016 he led and contributed to projects at NASA’s Jet Propulsion Laboratory and at Caltech, where his projects enhanced the leading-edge research of astronomers, astrophysicists, and chemical engineers. https://www.linkedin.com/in/markabajian/
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Jonas Hügel University of Göttingen, Germanyjonas.huegel@med.uni-goettingen.deNew algorithm & use case for the Transitive Sequence Pattern Mining Algorithm (tSPM+)Jonas Hügel earned his B. Sc. in Computer Science (Specialization: Medical Informatics) from the University of Göttingen, Germany. In 2020, he completed his M. Sc. in Computer Science (Area of Specialization: Applied System Engineering) at the University of Göttingen, Germany, after he wrote his Master thesis at the computational biology (Soeding Lab) group at the Max-Planck-Institute for Biophysical Chemistry (now MPI for Natural Sciences).

Jonas is currently with the Department of Medical Informatics, University Medical Center Göttingen where he is working as a research fellow and additionally working on his PhD project regarding patient similarity in Computer Science. Additionally, he is a member of the Campus-Institute Data Science, University of Göttingen. In 2023, he spent half a year as a visiting researcher at the Clinical Augmented Intelligence Group at the Massachusetts General Hospital.
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Nich WattanasinMGBnwattanasin@mgb.orgMultimodal data integration for RECOVERNich Wattanasin is Assistant Director of research development in the Research Information Sciences & Computing core at Mass General Brigham. He currently serves as the lead technical architect of the Data Resource Core for the RECOVER project, a large NIH research initiative that aims to understand the long-term health effects of COVID. He has worked on i2b2 development and i2b2-related informatics projects for more than 15 years and is currently completing his Ph.D. in Biomedical Health Informatics at Rutgers University. https://www.linkedin.com/in/nichw/
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Victor CastroMGBvcastro@mgb.orgi2b2 on REDCap - RECOVERVictor Castro is a Principal Research Data Scientist at Mass General Brigham and a Ph.D. student in Population Health at Northeastern University. His current research interests include Long COVID phenotyping, developing methods for characterizing neuropsychiatric symptoms in large real-world datasets and understanding the impact of health disparities on population health research. He has built i2b2 tools and workflows to integrate multi-modal datasets for observational research. https://www.linkedin.com/in/victormcastro/
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Saber HossainUniversity of Missourimhmcb@missouri.edui2b2 on SnowflakeMd. Saber Hossain is a Biomedical Informatics Software Engineer in the Center for Biomedical Informatics at the University of Missouri. He has a BS in Computer Science and MS in Health Informatics. He is interested in Cloud Application Development, Data Engineering and Mobile Application Development. https://www.linkedin.com/in/md-saber-hossain/
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Paty BuendiaBio Teampaty@bioteam.netCRISPI dbGaP to i2b2 demoPatricia’s research and career activities are focused on assisting the biomedical community with access to quality data and computational tools that improve and advance knowledge discovery in all aspects of medicine and health care. She worked as an Assistant Professor at the University of Miami, and later worked as a Principal Investigator at Infotech Soft on various NIH/CDC contracts and grants. At her startup Lifetime Omics, she ran an NIH-funded clinical study that analyzed the COVID-19 saliva microbiome with a focus on sepsis prognosis. In 2021, she joined BioTeam to accelerate biomedical research via efficient design and optimization of data integration, bioinformatics analysis workflows, cloud-computing and machine learning approaches.
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Diane KeoghExecutive Director i2b2diane.keogh@transmartfoundation.orgDiane was the Executive Director of the i2b2 Foundation prior to being named the Executive Director of the combine i2b2 tranSMART Foundation. Diane has extensive Healthcare IT experience including academic medical centers, community and specialty hospitals, provider networks, industry, and biomedical research with a major focus on developing scalable enterprise strategies and solutions.
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