Rachel Lee

Medical Image Processing and Deep Learning Intern at Current Surgical
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Contact Information
us****@****om
(386) 825-5501
Location
College Park, Maryland, United States, US

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Bio

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Credentials

  • Data Science Boot Camp
    The Erdős Institute
    Jun, 2021
    - Nov, 2024

Experience

  • Current Surgical
    • United States
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Medical Image Processing and Deep Learning Intern
      • Jul 2023 - Present

      Analyzed ultrasound images of multiple different modalities. Built deep learning models to improve the precision of thermal therapy monitoring. Analyzed ultrasound images of multiple different modalities. Built deep learning models to improve the precision of thermal therapy monitoring.

  • University of Maryland
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Aug 2019 - May 2023

      Following the previous work of Goldman, obtained a topological classification of closed conformally flat Lorentzian 3-manifolds with unipotent holonomy. The classification led to many interesting discoveries including a topological condition to determine whether or not such a manifold possesses a certain dynamical property.

    • Teaching Assistant
      • Aug 2017 - May 2023

      Led weekly discussion sections for various calculus classes. This entailed filling in gaps of knowledge held by the groups at large, and fielding questions from individual students about particular problem areas. In addition to this, I was responsible for much of the clerical aspects of the course as far as my students were concerned (e.g. grading quizzes and recording grades).

  • University of California, Berkeley
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Data Analyst
      • Aug 2016 - May 2017

      Worked as a research data analyst for UC Berkeley neuroeconomics laboratory on several projects. Amongst other things, this entailed performing multiple component analyses and building computational models. In addition to this, I was in charge of the implementation of decision-making games used for data collecting and the cleaning of the data. Worked as a research data analyst for UC Berkeley neuroeconomics laboratory on several projects. Amongst other things, this entailed performing multiple component analyses and building computational models. In addition to this, I was in charge of the implementation of decision-making games used for data collecting and the cleaning of the data.

  • University of California, Berkeley
    • United States
    • Higher Education
    • 700 & Above Employee
    • Grader
      • Aug 2014 - May 2015

      Graded weekly homeworks and exams for multiple mathematics and computer science classes. Graded weekly homeworks and exams for multiple mathematics and computer science classes.

Education

  • University of Maryland
    Doctor of Philosophy - PhD, Mathematics
    2017 - 2023
  • University of California, Berkeley
    Bachelor of Arts - BA, Mathematics and Computer Science
    2011 - 2015
  • Grier School
    High School Diploma
    2008 - 2011

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