Qiaolian Nong: Aspiring Data Scientist and Research Analyst
Contact Information
Educational Qualifications
University of Toronto (St. George Campus)
Honours Bachelor of Science in Statistical Science & Bioinformatics ASIP Co-op Program
September 2021 – Expected June 2025
- GPA: 3.96/4.00
- Average Grade: A+
Key Courses Completed:
- Multivariable Calculus
- Linear Algebra
- Probability & Statistics
- Python Programming
- Introduction to Databases
- Data Analysis
- Human Genetics
- Molecular & Cell Biology
Work Experience
Lunenfeld-Tanenbaum Research Institute @ Sinai Health, Toronto, ON
Research Assistant
April 2023 – Present
- Re-analyzed raw data for variant effect maps using the TileSeqMave bioinformatics pipeline.
- Assembled benchmark sets of known pathogenic variants from databases and literature.
- Evaluated prediction accuracy via precision-recall curves for clinical applications.
- Proposed improvements for the TileSeqMave pipeline based on analytical insights.
- Created and presented detailed 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 varied outcomes.
- Implemented strategies for managing missing data and assessed their performance.
- Developed recommendations for addressing missing data challenges in RCTs.
- Presented research findings at the annual showcase event.
Skill Set
- Programming Languages: SQL, Python, R, Unix Shell, Git, HTML, LaTeX
- Libraries & Tools: psycopg2, tidyverse, doParallel, foreach
Noteworthy Projects
Analysis of Coffee Ratings and Sensory Attributes
October 2023 – December 2023
- Explored correlations between coffee ratings and sensory characteristics using multiple linear regression (MLR).
- Conducted comprehensive data analysis and visualizations using R.
Development of Learning Management System Database
September 2023 – October 2023
- Designed a structured database schema for a learning management system.
- Developed complex SQL queries and integrated them with Python for data operations.
Hypertension and Low-Income Data Analysis in Toronto
November 2022 – December 2022
- Performed data cleaning and standardization while selecting appropriate statistical methods.
- Analyzed relationships between neighborhood hypertension rates and income levels.
Honors and Recognition
Summer Undergraduate Data Science (SUDS) Research Program Award (2023)
Received $7200 CAD for a summer research project in data science.
Dean’s List Scholar (2022, 2023)
Honored for outstanding academic performance at the University.
