Curriculum Vitae

*Last updated November 2024

A pdf version of my CV is available here.

Education

University of Toronto | Honours B.Sc in Statistics and Mathematical Applications in Statistics/Probability | Toronto ON

Sept 2021 - Present

Experience

University of Alberta | Research Assistant | Edmonton, AB | May 2023 - Aug 2023

  • Awarded 2 NSERC USRAs (one in 2023 and the other in 2024)
  • Researched deep fake simulation/detection methods
  • Helped to design and implement a model involving Hidden Markov Models with a GAN-like structure

Publications

Preprints

Markov Processes for Enhanced Deepfake Generation and Detection | 2024

Bhadana, J., Kouritzin, M., Park, S., Zhang, I.

arXiv link (2411.07993)

Projects

Pomodoro Clock with Deep-learning Implementations

  • Developed a clock following the Pomodoro technique that implements deep-learning, NLP, and generative AI to provide adaptive productive insights, integrated real-time tracking, and task categorization
  • Designed to help individuals keep on track and to minimize the amount of work required to plan tasks and budget time available
  • Tools used: PyTorch, scikit-learn, scapy, tensorflow, huggingface

Personal Website (ianzhang42.github.io)

  • Created a personal portfolio website to showcase my projects and my academic work
  • Website highlights my web development skills, Git version control, and responsive design practices
  • Tools used: HTML, CSS, GitHub Pages

Honours and Awards

NSERC Undergraduate Student Research Award | Awarded by NSERC, UofA | May 2023, May 2024

Awarded to conduct research at the University of Alberta in the Department of Mathematical and Statistical sciences during the 2023 & 2024 Spring/Summer terms under the supervision of Dr. Mike Kouritzin

Jack Zwaigenbaum Scholarship | Awarded by University College, UofT | Sept 2022

Awarded for academic excellence in the 2021-2022 school year

Dean's List Scholar | Awarded by Faculty of ArtsSci, UofT | Oct 2022, Jun 2023

Awarded for academic excellence in the 2021-2022 and 2022-2023 school years.

Technical Skills

Programming Languages: Python, Julia, R, SQL, Java, Matlab

Tools/Frameworks: PyTorch, VS Code, JupyterHub, RStudio, GitHub, HTML, CSS

Languages Spoken: English (native), Mandarin (native), Japanese (intermediate)