Anitha

kannan

Chief of AI

Dr. Anitha Kannan is Chief of AI at Logical Intelligence. She brings more than two decades of machine learning research and applied leadership across Microsoft Research, Facebook AI Research, and Curai Health.


As a founding team member/VP of AI at Curai Health, Dr. Kannan spent nine years helping build a company dedicated to scaling high-quality healthcare through AI. She led the research and engineering that put machine learning into live clinical workflows, where accuracy and safety are non-negotiable.


Earlier, she was a Research Scientist at Facebook AI Research. Before that she spent eight years at Microsoft Research, rising to Senior Researcher and earning two Technology Transfer Awards for research that shipped into products, along with two Gold Star Awards. She also served as General Chair of the ACM Symposium on Computing for Development.


A frequent speaker on rigorous, responsible AI, Dr. Kannan has presented at Stanford’s AI in Medicine Symposium, MIT, ML4H, SIGIR, and MLConf.


She holds a PhD in Computer Science (Machine Learning) from the University of Toronto and an MMath in Computer Science from the University of Waterloo, and is a Darwin Fellow.

Dr. Anitha Kannan is Chief of AI at Logical Intelligence. She brings more than two decades of machine learning research and applied leadership across Microsoft Research, Facebook AI Research, and Curai Health.


As a founding team member/VP of AI at Curai Health, Dr. Kannan spent nine years helping build a company dedicated to scaling high-quality healthcare through AI. She led the research and engineering that put machine learning into live clinical workflows, where accuracy and safety are non-negotiable.


Earlier, she was a Research Scientist at Facebook AI Research. Before that she spent eight years at Microsoft Research, rising to Senior Researcher and earning two Technology Transfer Awards for research that shipped into products, along with two Gold Star Awards. She also served as General Chair of the ACM Symposium on Computing for Development.


A frequent speaker on rigorous, responsible AI, Dr. Kannan has presented at Stanford’s AI in Medicine Symposium, MIT, ML4H, SIGIR, and MLConf.


She holds a PhD in Computer Science (Machine Learning) from the University of Toronto and an MMath in Computer Science from the University of Waterloo, and is a Darwin Fellow.

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