Pan Chen

Gave a talk: Investigating Data Features for Reproducibility of Robust Educational Data Models at the Data Science Institute.

Ye, R., Chen, P., Mao, Y., Wang, A., Shaikh, H. & Zavaleta Bernuy, A. (2022, August). Behavioral Consequences of Reminder Emails on Students’ Academic Performance: a Real-world Deployment. The 23rd ACM Annual Conference on Information Technology Education (Best Paper)

Han, Z., Gorobets, E., & Chen, P. (2022, June). Parameter efficient dendritic-tree neurons outperform perceptrons. ICML Workshop on Dynamic Neural Networks

Chen, P., Sibia, N., Zavaleta Bernuy, A., & Liut, M. Investigating the Impact of Voice Response Options in Surveys. The 52nd ACM Technical Symposium on Computer Science Education.

Saxena, N., Chen, P., & Liu, E. (2021, June). Statistical Consequences of Dueling Bandits. RL4ED – EDM’21 Workshop on Reinforcement Learning for Education.

Presented the livability of Toronto for newcomers in Toronto Data Workshop

Ph.D. student in Computer Science, University of Toronto 🇨🇦

• Supervisor: Joseph Jay Williams

Honours Bachelor of Science, University of Toronto 🇨🇦

• Specialist (advanced major) in Computer Science
• Major in Statistics
• Minor in Mathematics

STA238: Probability, Statistics and Data Analysis II

• Supervisor: Selvakkadunko Selvaratnam

CSC343: Introduction to Databases, University of Toronto, Teaching Assistant

• Supervisor: Diane Horton, Jacqueline Smith
• Grade exams and assignments and host office hours.

CSC343: Introduction to Databases, University of Toronto, Teaching Assistant

• Supervisor: Michael Liut
• Co-host weekly tutorials where I walk through the course materials with the students

CSC165: Mathematical Expression and Reasoning for Computer Science, University of Toronto, Teaching Assistant

• Supervisor: François Pitt
• Co-manage the worksheet sessions with the professor and the other teaching assistant. I answer students’ questions and help them solidify their understanding of logical notation and reasoning

CSC108: Introduction to Computer Programming, University of Toronto, Teaching Assistant

• Supervisor: Andrew Petersen, Michael Liut
• Co-hosted weekly tutorials with two other TAs which we alternatively played the role of the “Instructor”. When I was not the “Instructor”, I answered students’ questions in the breakout room

CSC207: Software Design, University of Toronto, Teaching Assistant

• Supervisors: Paul Gries, Jonathan Calver, Lindsey Shorser
• Hosted weekly tutorials where I supervised students’ object-oriented projects, other duties included project and exercise gradings

Programmer, Regulatory and Affective Dynamics Lab

• Collaborated with the development of an application using React, Express, and MongoDB that trains people mental health skills by introducing intervention sessions

Research Assistant, Intelligent Adaptive Interventions Lab

• Supervisor: Joseph Jay Williams
• Collaborated with a homework reminder system deployed in a CS1 course with over 1000 students, writing scripts in Python for deployment and analysis
• Undergraduate lead for a stress management project. Developed RESTful APIs with NodeJS and MongoDB
• Lead the lab website redesign team
• Host the mentoring sessions

Software Developer, Infrastructures for Information

• Core developer for a tool in Java that boosts productivity when working on multiple labelling documents

Software Developer, TradeRev

• NodeJS developer
• Cancelled due to the COVID-19 pandemic

External Collaborator, The Hospital for Sick Children

• Collaborated with the development of a platform where patients can have the sound of urine recorded in the mobile app of this platform, using Native React