Margot Yann

Director of Data Science & Machine Learning at AdviNOW Medical

Margot Yann, Ph.D. is Director of Data Science and Machine Learning at AdviNOW Medical, where she oversees the development of custom machine learning systems for disease diagnosis and treatment.

Margot did her initial training in Beijing China in Computer Science & Engineering, and completed her doctorate in Toronto Canada. Her specialty is Artificial Intelligence and Machine Learning. She has extensive experience in research and applications using Deep Neural Networks, Bayesian Networks, Multiagent Leaning, and Game Theory—among other areas and processes at the forefront of artificial intelligence.

She has worked with Academic and Federal institutions in UK, Canada and US acting as Principal investigator (PI) & Co-PI on projects focused on support decision-making processes through improving metrics in healthcare.

Most recently she has applied Natural Language Processing to handle complex datasets of electronic health records in cardiac and cancer research at well-regarded hospitals in both Toronto and the UK.

Margot has taught Computer Science courses at the University of Toronto. She has been a member of Women in Engineering in IEEE, and has been professional committee on distinguished computer conferences such as IJCAI and AAAI.

She brings a wide background and expertise in computing in healthcare to AdviNOW Medical and is striving to help our company reach its goals and fulfil its mission to help physicians make better informed diagnoses, while helping patients achieve better health outcomes.


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AdviNOW Medical

AdviNOW Medical uses true artificial intelligence (AI) and augmented reality (AR) to completely automate the medical patient encounter. Their advanced AI engine makes the access and delivery of care location-agnostic in ways that go far beyond a simple video call. With augmented reality, patients can self-measure vitals using a home kit or an in-clinic medical kiosk.


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