Experience

Education

• M.S. in Computer Science, Yale University, 2024
• B.S. in Computer Science, Sichuan University, 2023
• B.S. in Fiancial Engineering, Sichuan University, 2023

ML & Research Experience

• Research Assistant, Yale University, Fall 2023 - Present
  • Advisor: Prof. Rex Ying
  • Research orientation: Graph Foundation Model, Graph Transformer, Information Bottleneck, Trustworthy Deep Learning
  • Results have been accepted by ICML 2024 and submitted to NeurIPS 2024
• Teaching Assistant, Yale University, Spring 2024
  • Instructor: Prof. Alex Wong
  • Course: CPSC 381/581, Introduction to Machine Learning
  • Topics: Stochastic Gradient Descent, Kernel Support Vector Machine, Principal Components Analysis, Neural Networks
• Machine Learning Engineer Intern, Meituan, Summer 2023
  • Division: Mobike
  • Project: Graph nerual networks for bike station recommendations
    • Curation of large-scale graph dataset from spatio-temporal data using PySpark
    • Implementation of GNNs and experiments using Tensorflow and backtested in an end-to-end pipeline
    • Automated offline predictions with Docker and online model deployments in a Java-based order system
• Research Engineer Intern, Johns Hopkins University, Summer 2022
  • Employer: The Johns Hopkins Center for Bioengineering Innovation and Design (CBID)
  • Project: Wearable device applications for deformity spine patients
    • Development of iOS and watchOS applications for inertial sensor data collection and synchronization using Swift
    • Implementation of LSTM prediction model for human activity recognition using Tensorflow