CV

Bachelor of Science (Honours) in Statistics

• Specialize in Data Science
• Minor in Computer Science

International Honors Program

• Summer Quarter

Research Intern

• Computational Digital Pathology Lab (CDPL)
• Optimization and Generalization of AI Digital Pathology Diagnostic Model Performance

Editor Intern - Supply Chain (Inventory) Section

• ORAI China (运筹OR帷幄) is a global online community mainly focused on Operations Research, Artificial Intelligence and Data Science.
• Conduct literature review on outstanding research papers from renowned OR/OM-related journals.
• Regularly collect, collate, and summarize recent outstanding academic papers about Supply Chain/Inventory Management, providing readers with a quick insight into the latest industry developments.
• Articles
  • An Overview of Inventory Management

Breast Cancer Detection

• Final project of Artificial Intelligence - Technology and Impact
• Skills: Python, TensorFlow, Keras, Supervised Machine Learning
• Led a team of four to conduct classification on breast cancer dataset, which consists of information of 350 different DNA fragments and corresponding labels
• Implemented classification models including Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random Forest, and Artificial Neural Networks (ANN) using TensorFlow-based machine learning libraries including scikit-learn and Keras

House Price Prediction

• Final project of Introduction to Statistics and Statistical Computing
• Skills: R, Linear Regression, Hypothesis Testing, Descriptive Data Analysis
• Fitted a linear regression model using RStudio to predict the house price of Oregon, USA from various factors
• Explored the effectiveness of each regressor in the given dataset and purposed the optimal combination of regressors for regression model utilizing statistical plots and t-test

• Top Students in Programming Methodology