Home
Hi, I’m Haolan, a master student at Yale University and currently working as a research assistant at Yale Computer Science under the supervision of Prof. Rex Ying, working on graphs and fact checking (NLP).
Prior to Yale, I received my bachelor’s degrees in Computer Science and Financial Engineering from Sichuan University China, where I did projects and research in computer vision, computational finance.
I am looking for full-time positions as a machine learning engineer, data scientist, data analyst, data engineer, or in quantitative finance and related fields. I am open to opportunities in both industry and academia.
Several of my projects are listed in the Portfolio section.
Please feel free to reach out to me via email: haolan.zuo [at] gmail [dot] com or LinkedIn.
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
Professional Experience
- Machine Learning Engineer Intern, Meituan, Summer 2023
- Division: Mobike
- Project: Graph nerual networks for bike station recommendations
- Built data ETL pipeline for large-scale graph dataset from spatio-temporal data using PySpark and SQLs
- Improved overall profit by 7% by building GNNs for bike station recommendations; achived 72% ACC@500 in component-specific tests
- Deployed the model as a service using Docker and Flask via RESTful APIs
- Machine Learning 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
- Developed iOS and watchOS applications for inertial sensor data collection and synchronization using Swift
- Implemented LSTM prediction model for human activity recognition using Tensorflow
- Data Scientist Extern, Yale Biotech Club - Bexorg Inc., Fall 2023
- Project: Temporal data mining for brain cultivation experiments
- Enhanced high-frequency signal data integrity via data cleansing, feature selection, and downsampling using Pandas
- Uncovered causal relationships between variables using scikit-learn for random forest, mutual information, and Bayesian networks
- Project: Temporal data mining for brain cultivation experiments
Research and Teaching 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