Winona Richey

Staff Software Engineer at PolarisAR
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Contact Information
us****@****om
(386) 825-5501
Location
Nashville Metropolitan Area

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Experience

    • United States
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Staff Software Engineer
      • May 2022 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Student Researcher
      • Jun 2017 - Apr 2022

      Dissertation Title: “Computer vision driven image guided breast conserving surgery” • Software development of a custom Python scripted image guidance system in 3D Slicer (user interface in Qt) deployed on human subjects, with iterative surgeon feedback • Leveraged biomechanical modeling to enhance tumor localization by significantly improving image-to-physical registration using preoperative MR data and sparse intraoperative data • Created innovative surface acquisition method with FLIR (Point Grey) stereo cameras in Python (OpenCV) and MATLAB, using colored ink and hand-drawn letters on the breast surface Show less

  • Tulane Academic Success Center
    • New Orleans, Louisiana, United States
    • Tutoring Team Supervisor/Tutor
      • Jan 2016 - May 2017

      I supervised a team of 25 tutors, revamped the structure of team meetings and performed administrative tasks. This includes running meetings, working with cancellations, and organizing the tutoring schedule. Promoted to a managing position in August 2016. Tutored chemistry, physics, calculus, and engineering courses (all levels offered). I supervised a team of 25 tutors, revamped the structure of team meetings and performed administrative tasks. This includes running meetings, working with cancellations, and organizing the tutoring schedule. Promoted to a managing position in August 2016. Tutored chemistry, physics, calculus, and engineering courses (all levels offered).

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Assistant
      • Jan 2016 - May 2017

      Designed experiments and algorithms to automatically determine successful Laser Direct Write cell transfers using image processing, SVMs, and neural networks implemented in Python using TensorFlow. Designed experiments and algorithms to automatically determine successful Laser Direct Write cell transfers using image processing, SVMs, and neural networks implemented in Python using TensorFlow.

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Leader of Service Learning Assistants/Service Learning Assistant
      • Jan 2015 - May 2017

      As a Service-Learning Assistant (SLA), I acted as the main liaison between staff members of the Center for Public Service and service-learning participants. I coordinated communication with community partners and organized the logistics of scheduling and assigning students to community sites. I facilitated reflections and workshops for my service learning classes. Promoted to Service Learning Assistant Leader in August 2016. I provided logistical support to 27 SLAs and our Senior Program Coordinator, managed mentoring and co-training of SLAs, organized speakers and special events, and aided in the hiring process. I participated in, and led weekly workshops pertaining to leadership, civic engagement, and community development. Show less

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Assistant
      • May 2016 - Jul 2016

      NSF sponsored REU at the Center for Research in Computer Vision (CRCV), under the direction of Dr. Ulas Bagci. Implemented and modified hand crafted feature detection techniques: bag of frequencies, taxonomic diversity and taxonomic distinctness. Combined hand crafted features with deep learning features for automatic lung nodule detection in Computed Tomography (CT) scans. NSF sponsored REU at the Center for Research in Computer Vision (CRCV), under the direction of Dr. Ulas Bagci. Implemented and modified hand crafted feature detection techniques: bag of frequencies, taxonomic diversity and taxonomic distinctness. Combined hand crafted features with deep learning features for automatic lung nodule detection in Computed Tomography (CT) scans.

Education

  • Vanderbilt University
    Doctor of Philosophy - PhD, Biomedical/Medical Engineering
    2017 - 2022
  • Tulane University
    Bachelor of Science and Engineering - BSE, Biomedical/Medical Engineering, Computer Science
    2013 - 2017

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