Christopher Pilotte

Christopher Pilotte is a Data Specialist at Discern, where he focuses on quantitative analysis. He is currently a senior studying applied mathematics at the University of Maryland. Christopher has a strong background in mathematical statistics and machine learning, which he uses to help clients better collect, interpret, and apply real-world data.

At Discern, Christopher has written several algorithms to assist with text analysis and predictive modeling. He has also completed projects in data collection and assisted in formalizing Discern’s safe data transfer process.

Areas of Expertise

  • Predictive modeling
  • Data analysis

Education

  • BS Candidate, Applied Mathematics — University of Maryland, College Park
  • Machine Learning course — Stanford

Location

  • Baltimore, MD

Discern expands Health Economics and Outcomes Research (HEOR) Capabilities For Life Sciences clients

Health economics and outcomes research (HEOR) has long been important for health care market access outside the U.S., but it is increasingly being utilized in the U.S. as part of the movement from vol...
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Guy D’Andrea Speaks About Innovative Payment Models

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