Profile

• Organization

  Purdue University

  
  
• Website

  http://www.linkedin.com/in/joceydunn

  
  
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• Interests

  1. Biomechanics
  2. Complexity
  3. data mining
  4. Decision-making
  5. Information Engineering
  6. Integration
  7. machine learning
  8. Optimization
  9. simulation and modeling
  10. STEM Education (Science Tech Engineering Math)
  11. tissue engineering

  
  
• Address

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• Biography

  My desire to have a positive impact on society encouraged me to obtain a Master's degree in Biomedical Engineering at Purdue. While working on my thesis focused on Tissue Engineering and Regenerative Medicine for liver and heart disease, I became more aware of the external factors beyond the physiology (ie- life decisions, economics, education) that play an important role in the development of chronic diseases. Currently, as part of the Industrial Engineering PhD program, my research in Operations Research and Engineering has a broader scope that takes into account the systems in which we are all intertwined.
  
  As part of my PhD research, I am working with real world data from nanoHUB to:
  1) Develop methods for classification and prediction that are robust to data uncertainty
  2) Create tools that will identify target users and resources (ie- users to inform about a specific feature, resources in need of improvement).
  3) Make evaluation processes more efficient and decision-making processes more effective.
  
  Today we have mountains of real world data, and my goal is to generate knowledge from data. I want to use data-driven knowledge to further our understanding of complex systems in hopes of informing future designs of systems, interfaces, and controls.