• 2022-2025
    UC Berkeley
    B.S. in Electrical Engineering and Computer Science
    • GPA - 3.71
    • Clubs
      • Machine Learning @ Berkeley
      • Society of Women Engineers
      • Association of Women in EECS
    • Coursework
      • Data Structures, Efficient Algorithms and Intractable Problems, Discrete Math and Probability, Structure and Interpretation of Computer Programs, Designing Information Devices and Systems I and II


  • June 2023 - Aug 2023
    Project Engineering Intern
    Cubic Transportation Systems
    • Developed a full-stack web application for the Boston MBTA transportation system using Flask and React to monitor over 300 devices, as well as various sales and ridership statistics
    • Deployed a separate web app for tracking the location of over 100 active bus and subway trains across 6 different MBTA transit lines with real-time refresh every 2 minutes
    • Configured devices in the testing environment, identified key requirements for test cases, and executed stress testing for the coin and bills cashbox in the fare vending machines
  • Oct 2022 - Present
    Undergraduate Machine Learning Researcher
    Redwood Center for Theoretical Neuroscience
    • Optimize a convolutional sparse coding model on MNIST and incorporate computational features to improve memory usage and efficiency in image factorization tasks
    • Compare classification methods such as K-means, K-Nearest Neighbors (KNN), and high dimensional computing to evaluate effectiveness of convolutional sparse features
    • Invited to present research at Dean's Society event at Synopsys HQ
  • July 2021 - Sep 2022
    Student Researcher
    Sirota Lab at UCSF
    • Apply decision trees and K-Nearest neighbors models to predict preterm birth using microbiome data stratified by body site on a phylotype level
    • Compare relevant bacteria identified by the model, such as Blautia and Ureaplasma, to current microbiome literature to determine validity of connection with pre-term birth

Honors and Awards

  • 2023
    • Cal Alumni Association Leadership Scholar (2023, 2022)
  • 2023
    • Google Cloud Next Student Innovator
  • 2021
    • 1st Place in Computer Science Category at Greater San Diego Science and Engineering Fair


  • Generating New Yorker Cartoons with Stable Diffusion
    • Finetuned stable diffusion using Dreambooth to output images in the style of New Yorker cartoons
  • Improving Deep Neural Clinical Prediction Models with Textual Data Augmentation
    • Applied textual data augmentation to improve the robustness of Clincial BERT, a finetuned language model adapated to clinical notes, for predicting 30-day hospital readmissions