Brian S. Alper MD, MSPH, FAAFP, FAMIA
Dr. Alper is board certified in family medicine and clinical informatics. He graduated from Hahnemann University (now Drexel University School of Medicine), completed a fellowship at University of Missouri-Columbia, and continued as Clinical Research Assistant Professor serving roles in research, clinical practice and education at University of Missouri-Columbia School of Medicine for five years.
In 1995, Dr. Alper founded DynaMed, an evidence-based clinical reference, with the mission to provide the most useful information to health care professionals at the point-of-care. Dr. Alper established systematic literature surveillance as a method to extend evidence-based medicine principles and sustain continuous updating of DynaMed.
Dr. Alper is a leader in the evidence-based medicine community. He has advanced the methodology of evidence-based medicine through systems to support rapid development of high-quality guidelines with limited resources, modernized models for how to organize evidence and guidance for searches for clinical use, and defining certainty of net benefit as a focal point for what matters in healthcare decision making. Most recently Dr. Alper developed a novel method to cope with the current challenge of inconsistency across clinical practice guidelines. Dr. Alper’s mission expanded to provide the most useful support for healthcare decision making. He has become a frequent presenter and opinion leader across many related communities including American Medical Informatics Association, Association of Medical Directors of Information Systems, Guidelines International Network, Health Level Seven International, International Shared Decision Making Society, and Mobilizing Computable Biomedical Knowledge.
In his spare time, Dr. Alper can be found making strides toward defining the standard for computable expression of evidence and statistics through the EBMonFHIR project (Fast Healthcare Interoperability Resources for Evidence-Based Medicine Knowledge Assets).
Khalid Shahin BA
Khalid is a self-taught computer programmer that has always been interested in using his skills in the sciences, specifically to automate systems. He has an interest in the arts particularly with video post-production where he uses his programming knowledge to make addon tools and to generate imagery.
Khalid has been an invaluable part of innovations and Evidence Based Medicine developments since 2018. In the years since, he has been helping in numerous projects to streamline the workflow and to rapidly create prototypes in the development for new products. He is a leading member and manager of the EBMonFHIR working group and is developing multiple proof-of-concept projects that could have vast impact on the healthcare industry. He creates software to assist researchers in putting data into a standard’s format that exponentially saves time and streamlines the data entry process while also displaying the data in a user-friendly way. His tenacity, professionalism and wonderful sense of humor make him a wonderful addition to the team.
Joanne Dehnbostel MS MPH
Joanne Dehnbostel studied Microbiology and Immunology, earning her MS in Biology at the University of Minnesota in 2011. She acted as lab manager and worked as a laboratory technician studying infectious disease and immune function at the University of Minnesota Medical School. In 2018 she switched gears to focus on Public Health and earned her MPH in Infectious Disease Epidemiology at the University of Minnesota in August of 2020.
Since March 2020 she has been working with the COVID-19 Knowledge Accelerator which has launched many projects to make COVID knowledge more findable, accessible, interoperable, and reusable (FAIR). Current projects include code system development for Statistic Type, Statistic Model, Study Design and Risk of Bias code systems and a Systematic Meta-review of literature describing the use of steroids to treat COVID-19.
In October 2020, Joanne became the Research and Analysis Manager at Computable Publishing LLC working with Dr. Brian Alper to further enable standard-based machine-interpretable expression of scientific knowledge, especially related to healthcare and scientific evidence.
Muhammad Afzal PhD
Muhammad Afzal is an Assistant Professor at Sejong University, Seoul, South Korea since 2017. He received his PhD from Kyung Hee University, South Korea, in 2017 with an Excellent Thesis Award. A skilled Computer Scientist with excellent teaching and scholarly record of publishing more than 80 articles in top-tier journals and conferences in the areas of artificial intelligence, machine learning, context awareness, data and learning analytics and health informatics. His current research includes Future Generation Computer and Informatic Systems, Clinical Decision Support Systems, Machine Learning, and Text Processing. Invited Speaker and Presenter of research in different countries: USA, Japan, Singapore, South Korea, Italy, Portugal, and Australia. An active Reviewer and Associate Editor of the IEEE and other reputed journals. Contributor of developing the world leading health standards. Board member of Scientific Knowledge Accelerator Foundation (SKAF).
Bhagvan Kommadi MS
Bhagvan Kommadi is the Founder of Architect Corner – AI startup and has around 20 years of experience in the industry, ranging from large-scale enterprise development to helping incubate software product start-ups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from the Indian Institute of Technology, Madras (1993). He is a member of the IFX Forum, Oracle JCP, and a participant in the Java Community Process. Bhagvan Kommadi founded Quantica Computacao, the first quantum computing startup in India. Markets and Markets have positioned Quantica Computacao in the ‘Emerging Companies’ section of Quantum Computing quadrants. The company’s focus is on developing quantum cryptographic tools which will be able to provide quantum-proof data security, which will help the banking institution to protect their transactions. He is now the Director of Product Engineering at Value Momentum. Value Momentum has a social network for doctors (White Coats) and provides telehealth support through practice plus.
He contributes to open source, blogs, latest technologies stack like go, python, Django, node.js & java, Mysql, Postgres, Mongo, and Cassandra. He has reviewed the Manning Book – Machine Learning with TensorFlow. He has written Packt Publishing – Hands-On Data Structures and Algorithms with Go and Paytech book on The Payment Technology Handbook for Investors, Entrepreneurs, and FinTech Visionaries. He has written a book titled “Quantum Computing Solutions”. He has presented in IEEE, Avios, Astricon, Devcon, and PyCon before on topics such as Adaptive Learning, AI Coder, etc.,
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Karen A. Robinson, PhD is a Professor in the Department of Medicine at the Johns Hopkins University School of Medicine with joint appointments in the Departments of Epidemiology and Health Policy & Management at the university’s Bloomberg School of Public Health. She is Director of the Johns Hopkins University Evidence-based Practice Center and, within the EPC Program, serves as an Associate Editor and on the Methods Steering Committee. Dr. Robinson conducts systematic reviews and research on the use of evidence in making decisions. For over 20 years she has been an active member of Cochrane and is currently an editor for two review groups (including the methodology review group). Within the Guidelines International Network (G-I-N) she serves on the steering committees for two groups (Tech; North America). She serves as a founding steering group member of the Evidence-Based Research Network.
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Vignesh Subbian is a Joint Assistant Professor of Biomedical Engineering and Systems & Industrial Engineering, member of the BIO5 Institute, and a Distinguished Fellow of the Center for University Education Scholarship (CUES) at the University of Arizona (UArizona). His professional areas of interest include medical informatics, healthcare systems engineering, and broadening participation in engineering and computing. Dr. Subbian leads several medical informatics initiatives including the Computational Medicine and INformatics (COM-IN) Collaboratory, an engineering-driven, cross-disciplinary biomedical research and training hub at UArizona.
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