Background Check Analysis: Bilin Nong | 255db57e-fb44-7300-b396-1c76206425de
Personal Information
Educational Background
University of Toronto (St. George)
- Duration: September 2021 - June 2025
- Degree: Honours Bachelor of Science
- Major: Statistical Science & Quantitative Biology
- Academic Performance: GPA 3.95/4.00; Average: A+
- Program: ASIP Co-op Program
Core Coursework:
- Calculus I & II
- Multivariable Calculus
- Linear Algebra I & II
- Abstract Mathematics
- Molecular and Cell Biology
- Human Genetics
- Software Design
- Probability and Statistics
- Methods of Data Analysis (including Regression and Categorical Analysis)
- Statistical Learning and Survival Analysis
Professional Experience
Data Science Institute, University of Toronto
- Position: Research Scholar
- Duration: May 2024 - September 2024
- Key Contributions:
- Executed a systematic literature review examining the interplay between global diseases and data science methodologies.
- Developed R scripts for dataset integration, aligning disease burden metrics with publication statistics.
- Conducted non-parametric statistical analyses, unveiling trends in disease research over a 14-year period.
- Employed hierarchical clustering to visualize journal similarities, enhancing understanding of research focus areas.
- Effectively communicated findings through a well-received poster presentation at the SUDS Research Day.
Lunenfeld-Tanenbaum Research Institute @Sinai Health
- Position: Research Assistant
- Duration: April 2023 - April 2024
- Key Contributions:
- Co-developed bioinformatics pipelines (TileSeqMave) to quantify genetic variant effects, streamlining extensive literature review processes.
- Utilized advanced programming techniques in Python and R to enhance predictive accuracy of variant maps, achieving a 30% performance improvement.
- Formulated actionable recommendations for optimizing pipeline implementation, estimated to reduce computational runtimes by up to 40%.
- Presented project methodologies and findings to a diverse audience, fostering interdisciplinary collaboration and learning.
Dalla Lana School of Public Health, University of Toronto
- Position: Research Assistant
- Duration: May 2023 - August 2023
- Key Contributions:
- Employed R to simulate Randomized Controlled Trials (RCTs) and evaluate various missing data handling techniques.
- Analyzed the performance of these methods using an array of statistical metrics, such as Type I error rates and RMSE.
- Developed strategic recommendations for addressing missing data in RCTs, improving the robustness of study findings.
- Delivered a comprehensive poster presentation, enhancing visibility for research outcomes within the academic community.
Notable Projects
Community Safety Application - safeTO
- Spearheaded the design and development of a web application providing interactive crime analytics for Toronto neighborhoods.
- Crafted Java classes adhering to Clean Architecture principles, enhancing software maintainability through adherence to SOLID design patterns.
- Enabled functionality for users to receive annual crime reports via an Email Alert system, enriching community engagement.
Analysis of Sensory Factors & Coffee Ratings
- Conducted a multiple linear regression analysis to explore correlations between sensory attributes of coffee and overall quality ratings.
- Employed R for data preprocessing, model fitting, and conservative evaluation of assumptions, underscoring a nuanced understanding of statistical integrity.
Learning Management System Design
- Architected an Entity-Relationship schema for a comprehensive learning management system database, tailored to facilitate student assignment management.
- Engaged in rigorous SQL query development and validation processes, ensuring data integrity and enhancing educational analytics capabilities.
Technical Skills
- Programming Languages: Proficient in Python, R, SQL, and Java
- Technical Tools: UNIX, Git, LaTeX, and Markdown
- Libraries and Frameworks: Familiar with tidyverse, NumPy, Pandas, and Matplotlib
- Data Management: Experienced in Microsoft Access and Google Suite
Honors and Awards
- 2024: Samuel Beatty In-Course Scholarship ($1000 CAD) for exceptional academic performance within specialist programs.
- 2023, 2024: Summer Undergraduate Data Science (SUDS) Research Program Award ($7200 CAD) recognizing outstanding research potential.
- 2022, 2023: Dean’s List Scholar for achieving exceptional academic standing at the University of Toronto.
Languages
- Fluent: English, Mandarin
- Basic Proficiency: Korean, Cantonese
Summary
Bilin Nong is a promising undergraduate scholar within the University of Toronto's rigorous Honours Bachelor of Science program, specializing in Statistical Science and Quantitative Biology. With a remarkable GPA of 3.95, Bilin has showcased a solid foundation in quantitative analysis, data science, and bioinformatics through multifaceted research roles and impactful projects. Their adeptness in both programming and statistical methodologies, complemented by strong communication skills, positions them as a valuable asset in the fields of data science, biostatistics, and public health. Bilin's ongoing commitment to research and community engagement underscores a forward-thinking approach poised for future contributions to scientific and societal advancement.