Minfan Zhang

Minfan Zhang is a master's student in the Dynamic Graphics Project (DGP) lab and Machine Learning group at the University of Toronto, supervised by Professors Fanny Chevalier and Marzyeh Ghassemi. He earned his bachelor's degree from the University of Toronto in 2019. Minfan Zhang focuses on integrating machine learning with human-computer interaction, aiming to develop technologies that help people complete daily tasks more efficiently. His research spans data visualization, clinical data analysis, and smartphone automation systems, producing publications presented at multiple top-tier conferences. Additionally, he excels in teaching and academic outreach, having served as a teaching assistant for several courses.

• 2022–Present·University of Toronto RiskLab·Research Intern
  • Developed natural language processing models to analyze textual records between company management and media, predicting future indicators of companies through sentiment analysis.
• 2020–Present·The Hospital for Sick Children, Toronto·Research Intern
  • Focused on developing machine learning algorithms and human-computer interaction solutions in clinical contexts; multiple papers accepted by top-tier conferences.
• 2018–2018·Samsung Toronto AI Research Center·Research Intern
  • Investigated applications of computer vision and natural language processing on Android devices, independently built front-end and back-end systems of a real-time interactive instance segmentation project.
• 2017–2017·University of Toronto·Student Developer
  • Developed the course management system Courseography.

• 2019–Present·University of Toronto·Master's
  • Dynamic Graphics Project Lab and Machine Learning Group, Human-Computer Interaction and Machine Learning
• 2016–2019·University of Toronto·Bachelor's
  • Computer Science, awarded Dean's Scholarship