Machine Learning Informed Artificial Intelligence in Healthcare
TUE // OCT 27th
Empiric Health partnered with DataRobot in March of 2020, implementing a machine learning (ML) model factory to monitor performance and increase AI engine expansion. Integration of a machine learning-informed AI engine provides benefits from both methodologies — the ability to scale and expand quickly (ML) as well as traceability and clear, human understandable logic explanations (AI).
Megan Bultema (Chief Data Scientist @Empiric Health)
Megan Bultema (Carter) obtained her doctorate in Biochemistry and Molecular Biology in 2012 from Colorado State University and continued her research as a postdoctoral fellow at Stockholm University, Sweden. During her academic endeavors Megan applied statistical methodology towards interatomic force field parameterization and X-ray crystallography publishing a total of 11 publications in peer reviewed journals and serving as a Visiting Assistant Professor at the University of Colorado. Following this academic career, she leveraged her academic experience as a Data Scientist and focused directly on Machine Learning methodologies. Megan is currently the Chief Data Scientist at Empiric Health leading a team of highly skilled individuals focused on developing innovative solutions to support the mission in reducing unwarranted clinical variation.