Background Check Analysis: Bilin Nong | c0cb180d-2027-c72b-b6f2-964a9de7a7f3

Personal Information

• Name: Bilin Nong
• Email: [email protected]
• Phone: 807-706-7095
• Location: Toronto, Canada (Originally from Guangzhou, China)
• LinkedIn: linkedin.com/in/bilin22
• GitHub: github.com/Bilin22
• Personal Website: bilin22.github.io

Educational Background

University of Toronto (St. George)

• Duration: September 2021 - June 2025
• Degree: Honours Bachelor of Science
• Majors: Statistical Science & Quantitative Biology
• GPA: 3.95/4.00; Average: A+
• Program: ASIP Co-op Program

Relevant Courses:

• Calculus I & II
• Multivariable Calculus
• Linear Algebra I & II
• Abstract Mathematics
• Molecular and Cell Biology
• From Genes to Organisms
• Human Genetics
• Software Design
• Probability, Statistics and Data Analysis
• Methods of Data Analysis (Regression and Categorical Data)
• Statistical Learning
• Survival Analysis

Professional Experience

Data Science Institute, University of Toronto

• Position: Research Scholar
• Duration: May 2024 - September 2024
• Responsibilities:
  • Conducted literature reviews evaluating global diseases' impact on data science methods.
  • Developed R scripts for dataset compilation.
  • Performed statistical analyses and visualizations of research trends.

Lunenfeld-Tanenbaum Research Institute @Sinai Health

• Position: Research Assistant
• Duration: April 2023 - April 2024
• Responsibilities:
  • Co-developed bioinformatic pipelines to assess genetic mutations.
  • Improved predictive accuracy of variant effect maps by 30%.
  • Presented findings to lab members and authored comprehensive reports.

Dalla Lana School of Public Health, University of Toronto

• Position: Research Assistant
• Duration: May 2023 - August 2023
• Responsibilities:
  • Simulated Randomized Controlled Trials using R.
  • Assessed performance of statistical methods for dealing with missing data.

Projects

1. Community Safety Application - safeTO

   • Developed a web application visualizing crime analytics in Toronto.
   • Applied Clean Architecture principles and design patterns for maintainability.

2. Analysis of Sensory Factors & Coffee Ratings

   • Conducted multiple linear regression analysis using data from Coffee Quality Institute.

3. Learning Management System Design

   • Designed database schema and executed SQL queries for data management and analytics.

Technical Skills

• Languages: Python, R, SQL, Java, HTML, CSS
• Technologies: UNIX, Git, LaTeX, Markdown
• Libraries: tidyverse, doParallel, NumPy, Pandas, Matplotlib
• Other Tools: Microsoft Access, Google Suite

Honors and Awards

• 2024: Samuel Beatty In-Course Scholarship ($1000 CAD)
• 2023, 2024: Summer Undergraduate Data Science (SUDS) Research Program Award ($7200 CAD)
• 2022, 2023: Dean’s List Scholar

Languages

• Fluent in English and Mandarin
• Basic knowledge of Korean and Cantonese

Summary

Bilin Nong is a highly accomplished undergraduate student pursuing a degree in Statistical Science & Quantitative Biology at the University of Toronto with an exceptional GPA of 3.95. They have demonstrated strong capabilities in data science, biostatistics, and bioinformatics through extensive research and project experience. Bilin's proficiency in programming and data analysis, coupled with their achievements and awards, signifies a promising future in data science and related fields. Their ability to communicate findings effectively is showcased through poster presentations and comprehensive reports, further establishing their potential as a valuable asset in any professional setting.