Today's guest is Joseph Gartner, Director of Data Science at ClosedLoop.ai in Austin, Texas. Founded in 2017, ClosedLoop makes it easy and affordable for healthcare organizations to use data science to improve quality and reduce costs. Their technology consists of two key pillars: a healthcare-specific machine learning automation platform and a catalog of pre-built predictive and prescriptive models that can be customized and extended based on your local population's needs.
As the Director of Data Science, Joseph's priority is to guide the efforts of their talented data science team. His responsibilities include designing processes to ensure consistent & repeatable work from the data science team, ensuring all customers are continually moving towards successful AI interventions, and collaborating with data scientists, stakeholders and their sales team to focus efforts on building and operationalizing the best models in healthcare.
In the episode, Joseph will tell you about:
The interesting work they do at ClosedLoop.ai,
How he transitioned into a role within Data Science in Healthcare,
Use cases of the interesting projects they work on,
Their successful agile methodology approach for bringing models to production,
Why he loves working at ClosedLoop and
What excites him for the future
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