Yuhong Nong: Data Science Enthusiast and Research Analyst

Contact Details

• Phone Number: (807) 706-7095
• Email Address: [email protected]
• Personal Website: Access Here

Academic Background

University of Toronto (St. George Campus)
Pursuing Honours Bachelor of Science in Statistical Science & Bioinformatics ASIP Co-op Program
September 2021 – Anticipated June 2025

• Current GPA: 3.96/4.00
• Average Grade: A+

Highlighted Courses:

• Multivariable Calculus
• Linear Algebra
• Probability & Statistics
• Python Programming
• Database Fundamentals
• Data Analysis Techniques
• Human Genetics
• Molecular and Cell Biology

Professional Experience

Research Assistant

Lunenfeld-Tanenbaum Research Institute @ Sinai Health, Toronto, ON
April 2023 – Present

• Re-analyzed data for variant effect maps using the TileSeqMave platform.
• Compiled and benchmarked sets of pathogenic variants from various sources.
• Assessed predictive accuracy through precision-recall curves for clinical relevance.
• Suggested enhancements to the TileSeqMave workflow based on findings.
• Developed and delivered presentations on research methodologies.

Research Trainee

Dalla Lana School of Public Health @ University of Toronto, Toronto, ON
May 2023 – Present

• Executed simulations in R for various Randomized Controlled Trials (RCTs).
• Applied techniques for handling missing data and evaluated their effectiveness.
• Formulated recommendations for managing missing data in RCTs.
• Presented research outcomes at the annual research showcase.

Technical Skills

• Languages: SQL, Python, R, Unix Shell, Git, HTML, LaTeX
• Libraries and Tools: psycopg2, tidyverse, doParallel, foreach

Key Projects

Sensory Analysis and Coffee Ratings

October 2023 – December 2023

• Analyzed the relationship between coffee sensory attributes and ratings using multiple linear regression (MLR).
• Conducted data visualizations and thorough analysis in R.

Learning Management System Database Schema

September 2023 – October 2023

• Developed a comprehensive database schema for a learning management system.
• Created advanced SQL queries and integrated them with Python for data manipulation.

Hypertension and Income Data Analysis in Toronto

November 2022 – December 2022

• Conducted data cleaning and standardization while applying suitable statistical methods.
• Investigated correlations between hypertension rates and income levels across neighborhoods.

Awards and Achievements

• Summer Undergraduate Data Science (SUDS) Research Program Award (2023)
  Awarded $7200 CAD for a summer research project in data science.

• Dean’s List Scholar (2022, 2023)
  Recognized for exceptional academic performance at the University.