Jerry Huang

Online Optimization Researcher, Kiyo and Eiko Tomiyasu SURF Scholar at Caltech
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Contact Information
us****@****om
(386) 825-5501
Location
San Diego, California, United States, US

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Credentials

  • Data Structures
    Coursera
    Oct, 2020
    - Oct, 2024
  • Algorithmic Toolbox
    Coursera
    Jul, 2020
    - Oct, 2024

Experience

    • United States
    • Research Services
    • 700 & Above Employee
    • Online Optimization Researcher, Kiyo and Eiko Tomiyasu SURF Scholar
      • Mar 2022 - Present

      Undergraduate researcher in Rigorous Systems Research Group (RSRG) working with Prof. Adam Wierman and Nicolas Christianson on improving online optimization with uncertainty-quantified advice. Used tools from convex optimization / online learning to develop algorithms for the prediction with expert advice problem.

    • Applied Linear Algebra Teaching Assistant
      • Sep 2022 - Dec 2022

      Teaching assistant for 180 student course. Held weekly office hours, graded assignments, and provided additional assistance to students on an individual basis.

    • United States
    • Research Services
    • 1 - 100 Employee
    • Deep Learning Researcher, Stephen Adelman Memorial SURF Fellow
      • Jun 2021 - Aug 2021

      - Worked with the Augmented Imaging and Data Analytics (AiDA) lab to apply deep learning methods in order to better diagnose and track cardiovascular diseases. - Developed deep learning-based pipeline using U-net CNN and image processing techniques to automate acquisition of myocardial strain metric from cardiac MRI data given sequentially through time. - Gave oral presentation on Seminar Day - Worked with the Augmented Imaging and Data Analytics (AiDA) lab to apply deep learning methods in order to better diagnose and track cardiovascular diseases. - Developed deep learning-based pipeline using U-net CNN and image processing techniques to automate acquisition of myocardial strain metric from cardiac MRI data given sequentially through time. - Gave oral presentation on Seminar Day

    • Software Development
    • 1 - 100 Employee
    • Mentee
      • Mar 2021 - Jun 2021

      - Worked under the mentorship of Amazon engineers to contribute to the Amazon Braket Python SDK. - Developed feature to support building quantum algorithms and improve clarity when visualizing quantum circuits; allows users to compose multiple quantum operations and compartmentalize circuit diagrams. - Implemented and built unit tests for operators corresponding to the Greenberger-Horne-Zeilinger state, Quantum Fourier transform, and Quantum Phase Estimation. - Worked under the mentorship of Amazon engineers to contribute to the Amazon Braket Python SDK. - Developed feature to support building quantum algorithms and improve clarity when visualizing quantum circuits; allows users to compose multiple quantum operations and compartmentalize circuit diagrams. - Implemented and built unit tests for operators corresponding to the Greenberger-Horne-Zeilinger state, Quantum Fourier transform, and Quantum Phase Estimation.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Summer Research Intern
      • Jun 2019 - Sep 2019

      - Researched diatom metabolism for biofuel applications - Developed 5 new metabolic pathway maps using Escher tool; curation, organization, and analysis done with Python - Alpha-tested Lifelike, a metabolic knowledge base software - Researched diatom metabolism for biofuel applications - Developed 5 new metabolic pathway maps using Escher tool; curation, organization, and analysis done with Python - Alpha-tested Lifelike, a metabolic knowledge base software

Education

  • Caltech
    BS, Applied and Computational Mathematics
    2020 - 2024
  • Torrey Pines High School
    High School Diploma
    2016 - 2020

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