Lingyun Nong: Emerging Data Scientist and Research Analyst
Contact Details
Academic Background
University of Toronto (St. George Campus)
Pursuing Honours Bachelor of Science in Statistical Science & Bioinformatics ASIP Co-op Program
September 2021 – June 2025
- GPA: 3.96/4.00
- Average: A+
Selected Coursework:
- Multivariable Calculus
- Linear Algebra
- Probability & Statistics
- Python Programming
- Introduction to Databases
- Data Analysis
- Human Genetics
- Molecular & Cell Biology
Relevant Experience
Lunenfeld-Tanenbaum Research Institute @ Sinai Health, Toronto, ON
Research Assistant
April 2023 – Present
- Re-processed raw data for variant effect maps utilizing the TileSeqMave pipeline.
- Compiled benchmark variant sets from various databases and scientific literature.
- Assessed prediction accuracy using precision-recall curves for clinical insights.
- Suggested enhancements to the TileSeqMave pipeline based on analytical findings.
- Prepared and presented reports detailing methodologies and results.
Dalla Lana School of Public Health @ University of Toronto, Toronto, ON
Research Trainee
May 2023 – Present
- Conducted R-based simulations for Randomized Controlled Trials (RCTs) with diverse outcomes.
- Employed missing data management strategies and evaluated their effectiveness.
- Developed actionable recommendations for missing data issues in RCTs.
- Shared research insights at the annual research showcase event.
Technical Proficiencies
- Programming Languages: SQL, Python, R, Unix Shell, Git, HTML, LaTeX
- Libraries & Frameworks: psycopg2, tidyverse, doParallel, foreach
Notable Projects
Sensory Factors & Coffee Ratings Analysis
October 2023 – December 2023
- Analyzed the relationship between coffee ratings and sensory characteristics using multiple linear regression (MLR).
- Conducted data analysis and visualization tasks using R.
Learning Management System Database Development
September 2023 – October 2023
- Designed a comprehensive schema for a learning management system database.
- Created intricate SQL queries and integrated them with Python for effective data manipulation.
Hypertension & Low-Income Data Analysis in Toronto
November 2022 – December 2022
- Implemented data cleaning and standardization techniques, selecting suitable statistical methodologies.
- Explored connections between neighborhood hypertension rates and income levels.
Achievements
Summer Undergraduate Data Science (SUDS) Research Program Award (2023)
Awarded $7200 CAD to support a summer research initiative in data science.
Dean’s List Scholar (2022, 2023)
Acknowledged for exceptional academic achievements at the University.
