Medi-AI is staffed by professionals with medical, data science, IT, and business experience and qualifications. We keep ourselves adept and in-tune with latest AI developments and advances.
Sandeep has a medical and healthcare management background in addition to being a certified health informatician and a World Health Organization recognized Digital Health Expert. He has completed machine learning and health informatics training from Duke University, University of Edinburgh, Doane University and other sources. He is currently engaged in research about the safety and quality of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare.
Nataraj is an experienced Management Consultant and Technology Professional with 25 years of experience with high-value transformation projects for global clients. He has worked with leading consulting and technology firms such as Accenture, KPMG, IBM, HP and NCS. He provides advisory services on Artificial Intelligence to various clients and start-ups globally. He has a Master of Technology degree in Knowledge Engineering from the National University of Singapore.
Ravi is a software professional with over 20 years of experience. He has an M.S in Engineering from George Mason University, USA. His career has spanned across multiple disciplines ranging from Satellite Communications, Mobile Networking, Security, Web Development, Web Services, System Administration, Search Engineering and Supervised/Unsupervised learning. He specializes in Natural Language Processing, Search technologies and algorithm development and is passionate about disruptive technologies in the fields of Machine Learning, Artificial Intelligence and High-Performance Computing.
Chaitanya is an American Board of Internal Medicine certified endocrinologist and internist with strong passion in leveraging healthcare technology for improving clinical outcomes. He is currently engaged in several artificial intelligence-based research projects and his team’s research project “Machine learning model to screen Type 2 Diabetes” was awarded the 3rd place prize at the American Association of Clinical Endocrinologists national meeting.
He has published his influential research in top peer-reviewed journals and has authored multiple text book chapters. In addition, he serves as an editorial board member and as a peer reviewer for several reputed medical journals and was a mentor at the MIT Med-hackathon. Chaitanya has a unique blend of clinical expertise, skills in clinical research and health care technology, which he brings to Medi-AI.
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