Madison, Wisconsin, United States
Led a team of software developers that used ML and combinatoric solvers to optimize freight movement saving Amazon $MM while ensuring customer promise is kept.
Lead a team of software developers focused on using predictive analytics, machine learning and artificial intelligence to improve patient outcomes, streamline clinical workflows, and create the future of healthcare. Creating and scaling enterprise wide machine learning strategy, culture, and tooling.
Responsible for the development and success of multiple products including intensive care, medical device interoperability, unified communication and inpatient data visualization. Contributed to strategic planning for the EpicCare Inpatient product as a whole and managed multiple senior SDMs responsible for more than 70 software developers and 120 implementation, support, and quality assurance staff members.
Product lead for the Epic Intensive Care and medical device interoperability application teams, overseeing the sales, development, testing, installation and support teams. Led the development of several new applications including telehealth, hospital remote monitoring, infusion pump integration, and unified communications. Experience developing software that required FDA 510ks and CE marks. Worked closely with medical device and telehealth vendors on business development activities as well as standards development to enable new market opportunities. Comfortable presenting to large groups of healthcare executives at Epic User Group Meeting and represented Epic at HIMSS conference. Regularly work with organizations designing new hospitals to help them understand how to use technology to improve patient safety, provider efficiency and patient and family engagement. International experience as lead developer for the Netherlands helping to make sure software met market needs for both the Netherlands and Europe as a whole and have received “Best in KLAS” awards in the region.