I am Yuze Fu, a dedicated second-year student at the University of Toronto, pursuing an Honors Bachelor
of Science with dual specializations in Mathematics and Computer Science. My academic journey is driven by a passion
for problem-solving and a strong foundation in programming, particularly in C and Python. My experiences range from
winning a prestigious award in the National Olympiad in Informatics to developing creative solutions through
hackathons. Beyond academics, I have honed my skills in data analysis, front-end development, and even 3D modeling. I
am continuously expanding my knowledge in these areas and am particularly interested in applying this knowledge to
real-world problems, as evidenced by my participation in projects like developing a mentorship matching system for
university freshmen. With a CGPA of 4.0, I am committed to excellence and am eager to contribute to innovative projects
that bridge the gap between technology and practical application.
Skills
Programming Languages: C, Python, R
Data Analysis:
Proficient in data structures, algorithms, and elementary data analysis using R
Front-End Development:
Skilled in HTML, CSS, and Figma for UI/UX design and personal website creation
3D Modeling: Basic abilities using Autodesk software
Office Software: Expert-level proficiency in Microsoft Office Suite
Project Management:
Experience in leading project teams and conducting background research and usability tests
Hackathons and Competitions:
Participated in various hackathons and won awards in programming competitions like the National Olympiad in
Informatics
Designed an automatic lawn irrigation system using machine learning in Python.
Built the project in just two days as part of Intel AI for Youth Express.
Implemented predictive algorithms to optimize water usage based on environmental data.
I’MENU – OCR and AI-Powered Restaurant Menu App
October 2023
Tools Used: Python, JavaScript, OpenAI, OCR (Optical Character Recognition)
Collaborated with a team during the Hack the Valley 8 hackathon to create an app that helps users better
understand restaurant menus.
Integrated OCR to scan and interpret menus, and used OpenAI for providing menu descriptions and
recommendations.
Research Project: Ministry of Colleges and Universities’ Research Investments
April 2024
Tools Used: R, Tidyverse, ggplot2
Analyzed the “ontario-research-funding-summary” dataset using R programming and third-party libraries.
Led a team of 3 students in writing a detailed report on research investments in Toronto.
MentorU – Mentorship Matching System
May 2024 – August 2024
Tools Used: Figma, User Research, Usability Testing
Developed an app interface using Figma to match university freshmen with mentors.
Conducted background research through surveys and interviews to identify user needs.
Improved user experience by iterating on the design through multiple usability tests.
Experiences
Teaching Assistant (CSCA67: Discrete Math) | University of Toronto Scarborough
September 2024 - December 2024
Prepared and conducted weekly 1-hour tutorials to reinforce students' understanding of discrete math
through additional exercises and guided problem-solving.
Held weekly office hours to provide personalized support, answering course-related questions and
clarifying complex concepts.
Collaborated with instructors in grading quizzes, assignments, term tests, and the final exam, providing
detailed feedback to help students improve their performance.
R&D Director (Computer Science Enrichment Club) | University of Toronto Scarborough
September 2024 - May 2025
Formed and led a research paper reading group focused on edge technology, hosting monthly
meetings to facilitate discussions on emerging trends and advancements in the field.
Organized and coordinated guest speaker sessions by inviting professors and industry professionals
to give talks, providing members with insights from both academic and industry perspectives.
Collaborated with group members to select and review research papers, fostering an environment
of intellectual growth and knowledge sharing.
Education
Honors Bachelor of Science (Co-op) | University of Toronto
Introduction to Computer Science I & II:
Developed proficiency in Python and C, including creating a 2048 game and analyzing the strengths of each
programming language.
Discrete Mathematics:
Acquired foundational knowledge in logical reasoning, combinatorics, and graph theory.
Calculus I & II for Mathematical Sciences:
Mastered fundamental calculus concepts with applications in mathematical sciences.
Introduction to Data Science:
Practiced data analysis using R, focusing on variance, distribution, and advanced methods like decision trees and
random forests.
Designing Systems for Real World Problems:
Engaged in an intensive design project focused on developing a mentorship matching system for university freshmen,
using Figma for UI/UX design and conducting usability testing.
Contact
Address: 3050 Ellesmere Road, Toronto, ON, M1E 5E6
