In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about The Gary Bisbee Show Visit: https://www.thinkmedium.com/programs/the-gary-bisbee-show Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing [More]
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about The Gary Bisbee Show Visit: https://www.thinkmedium.com/programs/the-gary-bisbee-show Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing [More]
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about The Gary Bisbee Show Visit: https://www.thinkmedium.com/programs/the-gary-bisbee-show Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing [More]
In this episode, we get to know Day Zero advisory council member Suchi Saria, Ph.D., Founder and CEO of Bayesian Health. Dr. Saria’s research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. For More Info about Day Zero Visit: https://www.thinkmedium.com/programs/day-zero Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing Innovation Fellow and joined the Johns Hopkins faculty in 2012. Currently, Dr. Saria is serving as an [More]
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about Day Zero Visit: https://www.thinkmedium.com/programs/day-zero Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing Innovation Fellow [More]
Abstract: Probabilistic numerics provides a narrative to extend our traditional approach of uncertainty about data to uncertainty about computations. In this talk I will provide a brief background to Probabilistic numerics and show why it is beneficial to think about Bayesian optimisation and other active learning techniques within this framework. In specific I will show how these guiding principles have allowed us to formulate a set of surrogate models that allows us to focus on details that are informative for search while ignoring detrimental structures that are challenging to model from few observations. We will show how this leads to a significantly more robust and efficient active learning loop. Preprints: The talk is primarily based on Bodin, E., Kaiser, M., Kazlauskaite, I., Dai, Z., Campbell, N. D. F., & Ek, C. H., Modulating surrogates for bayesian optimization., In , Proceedings of the 37th International Conference on Machine Learning, {ICML} 2019, 12-18 July 2020, Virtual (pp. ) (2020). Speaker: Dr. Carl Henrik Ek is a senior lecturer at the University of Cambridge. Together with Prof. Neil Lawrence, Jessica Montgomery and Dr. Ferenc Huzar he leads the newly formed machine learning research group in the Cambridge computer lab. He is interested in building models that allows for principled treatment of uncertainty that provides interpretable handles to introduce strong prior knowledge. Personal website can be found at http://carlhenrik.com/. This talk was given at Secondmind Labs, as a part of our (virtual) research seminar. Our research seminar is where we exchange ideas with guest [More]
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about Day Zero Visit: https://www.thinkmedium.com/programs/day-zero Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing Innovation Fellow [More]
Machine Learning Tutorial at Imperial College London: Bayesian Nonparametrics and Priors over Functions Carl Henrik Ek (University of Bristol) November 22, 2017
This presentation was recorded at GOTO Copenhagen 2017 http://gotocph.com Michael Green – Machine Learning Expert and Artificial Intelligence Evangelist ABSTRACT In a world where deep learning and other massively scalable perception machines are at our disposal, allowing us to build amazing applications, the time is now ripe to move beyond the concept of pure perception and into broader Artificial Intelligence (AI). The path towards AI goes through what’s missing in many applications today; Inference. Only when we combine Inference machines and Perception machines […] Download slides and read the full abstract here: https://gotocph.com/2017/sessions/175 https://twitter.com/gotocph https://www.facebook.com/GOTOConference http://gotocon.com #DataScience #ML #AI #Blackwood