About me

profile img My name is Yuntao (Winston) Wu. I am currently a PhD student in Computer Engineering at University of Toronto, advised by Dr. Andreas Veneris. I work as a research assistant at Rotman FinHub. I graduated from University of British Columbia with a Bachelor of Applied Science in Computer Engineering, minor in Honors Mathematics.

My Github, LinkedIn.

Education

Main Scholarships & Awards

Courses taken with notes & projects (selected)

University of Toronto
  • CSC 2125 Blockchain Technology (A+) [Course project]
  • CSC 2401 Introduction to Computational Complexity (B+) [Notes]
  • CSC 2511 Natural Language Computing (A+) [Course website]
  • ECE 1505 Convex Optimization (A) [Notes]
  • ECE 1647 Introduction to Nonlinear Control Systems [Notes]
  • ECE 1657 Game Theory and Evolutionary Games (A+) [Notes] [Course project]
  • ECE 1762 Algorithms and Data Structures (A+) [Notes]
  • MAT 1855 Mathematical Problems in Economics [Notes]
Audited courses:
  • CSC 2429 Introduction to Quantum Information [Notes]
  • MAT 1856 Introduction to Mathematical Finance [Notes]
  • STA 2502 Stochastic Models in Investments [Notes]
  • ECO 358 Financial Economics [Notes]
  • MAT 315 Introduction to Number Theory [Notes]
University of British Columbia
  • ECE/CS:
    • ELEC 201 Circuit Analysis I (A+) [Notes]
    • CPEN 221 Principles of Software Construction (A) [Notes]
    • CPSC 221 Basic Algorithms and Data Structures (A+) [Notes]
    • CPSC 261 Basics of Computer Systems (A+) [Notes]
    • CPEN 321 Software Engineering (A) [Notes] [Course Project]
    • CPEN 331 Operating System (A+)
    • CPSC 314 Computer Graphics (A+) [Notes]
    • ELEC 331 Computer Communications (A+) [Notes]
    • CPEN 400D Deep Learning (A+)
      • Deep Neural Networks, CNN, RNN, NLP using TensorFlow.
      • [Notes]
    • CPEN 400P Program Analysis (A+)
    • CPSC 425 Computer Vision (A+)
      • Image filtering, sampling, classification.
      • Object/edge detection. Object recognition.
      • [Notes]
    • ELEC 400M Machine Learning (A+)
      • Regression, SVM, Decision Trees, PCA, Deep Learning and CNN using PyTorch.
      • [Final project]
    • EECE 571S Introduction to Quantum Computing (A+)
      • Graduate level course taken as an undergraduate student.
      • Fundamentals of quantum computing & quantum algorithms.
      • Deutsch's problem, QFT, Phase Estimation, Grover's algorithm.
      • Error correction.
      • [Notes]
  • MATH:
    • Calculus
      • MATH 100: Differential Calculus (A+)
      • MATH 121: Honours Integral Calculus (A+)
      • MATH 253: Multivariable Calculus (A+)
      • MATH 317: Calculus IV (Vector) (A+)
      • [Notes]
    • MATH 152 Linear Systems (A+) [Notes]
    • MATH 220 Mathematical Proof (A+) [Notes]
    • MATH 300/301 Complex Variables and Applied Analysis (A+)
      • Calculus of Complex variables, Residue Calculus.
      • Conformal mapping, Asymptotic Evaluation of Integrals.
      • [Notes]
    • MATH 316 Elementary Differential Equations II (PDEs) (A+) [Notes]
    • MATH 318 Introduction to Probability (A+) [Notes]
    • MATH 340 Introduction to Linear Programming (A+) [Notes]
    • MATH 345 Applied Nonlinear Dynamics and Chaos (A+) [Notes]
    • MATH 424 Classical Differential Geometry (A) [Notes]
  • PHYS:
    • First Year
      • PHYS 157: Introductory Physics for Engineers I (Thermodynamics & Waves) (A+)
      • PHYS 158: Introductory Physics for Engineers II (Electricity & magnetism) (A+)
      • PHYS 170: Mechanics (A+)
      • [Notes]
    • PHYS 250 Introduction to Modern Physics (A+) [Notes]
    • PHYS 304 Introduction to Quantum Mechanics (A+) [Notes]
  • MISC:
    • CHEM 154 Chemistry for Engineering (A+) [Notes]
    • CIVL 250 Engineering and Sustainable Development (A+) [Notes]
    • ECON 311 Principles of Macroeconomics (A+) [Notes]
    • CPEN 481 Economic Analysis of Engineering Projects (A) [Notes]
    • CHIN 474 Later Classical Chinese Poetry (Intensive) (A)
Additional Math Courses