Jerry Huang
Online Optimization Researcher, Kiyo and Eiko Tomiyasu SURF Scholar at Caltech- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
Topline Score
Bio
Credentials
-
Data Structures
CourseraOct, 2020- Oct, 2024 -
Algorithmic Toolbox
CourseraJul, 2020- Oct, 2024
Experience
-
Caltech
-
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.
-
-
-
UC San Diego Altman Clinical and Translational Research Institute
-
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
-
-
-
Quantum Open Source Foundation
-
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.
-
-
-
UC San Diego
-
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 -
Torrey Pines High School
High School Diploma