Xiaoling Nong: Data Science Professional and Research Analyst
Contact Information
Education
University of Toronto (St. George Campus)
Honours Bachelor of Science in Statistical Science & Bioinformatics ASIP Co-op Program
September 2021 – June 2025
- GPA: 3.96/4.00
- Average: A+
Relevant Coursework:
- Multivariable Calculus
- Linear Algebra
- Probability & Statistics
- Python Programming
- Introduction to Databases
- Data Analysis
- Human Genetics
- Molecular & Cell Biology
Professional Experience
Lunenfeld-Tanenbaum Research Institute @ Sinai Health, Toronto, ON
Research Assistant
April 2023 – Present
- Re-processed raw data for variant effect maps using TileSeqMave.
- Compiled benchmark sets of pathogenic variants from databases and literature.
- Evaluated predictions through precision-recall curves to inform clinical interpretation.
- Recommended optimizations for the TileSeqMave pipeline based on analytical results.
- Delivered presentations and authored reports on methodologies and findings.
Dalla Lana School of Public Health @ University of Toronto, Toronto, ON
Research Trainee
May 2023 – Present
- Conducted simulations in R for Randomized Controlled Trials (RCTs) with various outcomes.
- Applied missing data handling techniques and evaluated their effectiveness.
- Developed recommendations for addressing missing data in RCTs.
- Presented research findings at the annual research showcase.
Technical Skills
- Programming Languages: SQL, Python, R, Unix Shell, Git, HTML, LaTeX
- Libraries & Tools: psycopg2, tidyverse, doParallel, foreach
Key Projects
Analysis of Sensory Factors & Coffee Ratings
October 2023 – December 2023
- Investigated correlations between coffee ratings and sensory attributes through multiple linear regression (MLR).
- Conducted comprehensive data analysis and visualizations using R.
Learning Management System Database Design
September 2023 – October 2023
- Designed and implemented a database schema for a learning management system.
- Developed complex SQL queries and integrated them with Python for data handling.
Analysis of Hypertension & Low-Income Data in Toronto
November 2022 – December 2022
- Executed data cleaning and standardization processes, selecting appropriate statistical methods for analysis.
- Analyzed relationships between hypertension rates and income levels at the neighborhood level.
Honors and Awards
Summer Undergraduate Data Science (SUDS) Research Program Award (2023)
Received $7200 CAD to fund a summer research project in data science.
Dean’s List Scholar (2022, 2023)
Recognized for outstanding academic performance at the University.
