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 is a certified health informatician and translational medicine specialist with medical and healthcare management qualifications. In addition to his medical training and extensive experience with healthcare management, he has undertaken machine learning training through Duke University, University of Edinburgh, Microsoft, Amazon Web Services and other sources. He is currently engaged in the design and development of artificial intelligence (AI) models to diagnose and treat medical conditions. He is also advising several organizations about use of AI technology to address healthcare issues. Further, Sandeep has authored several AI and digital health related publications including two books, a book chapter and several peer reviewed articles about 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. Nataraj provides advisory services on Artificial Intelligence to various clients and start-ups globally. Nataraj has a Master of Technology degree in Knowledge Engineering from National University of Singapore.
Paul brings a unique blend of insights from his experience in biomedical research, IT, business consulting and digital marketing. Paul obtained a Ph.D at the Walter and Eliza Hall Institute (WEHI) of Medical Research (Melb.Uni), and subsequently a Grad. Dip. Business (Organisational Development) at RMIT University. He is a Fellow of the Australasian College of Health Informaticians (FACHI) and has higher qualifications in health informatics (CHIA). He contributes extensively to online forums on topics ranging from digital health, well-being and AI ethics. He is an accomplished leader, presenter and facilitator and has been widely engaged by clients for executive and board level consultancy. His engagements at board level have included workshop facilitation, risk and root cause analysis, digital marketing and digital innovation strategy formulation, program and project health checks.
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 2019 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 2018 MIT Med -hackathon. Chaitanya has an unique blend of clinical expertise, skills in clinical research and health care technology, which he brings to Medi-AI.
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