Teaching

Jump to Courses | Mentoring | Artifacts

Courses

College and university courses I've taught, assisted, or lectured for.

  • Visual Analytics (COMP 150), Tufts University. Co-Instructor, Spring 2023.
  • Coding 101 Intensive, Tufts University Pre-College Programs. Program Instructor, Summer 2021.
  • Visualization Seminar (COMP 250), Tufts University. Teaching Assistant, Fall 2020.
  • Visual Analytics (COMP 150), Tufts University. Teaching Assistant, Fall 2019.
  • Precalculus (MAC 1140), Hillsborough Community College. Supplemental Instructor, Spring 2017.
  • College Algebra (MAC 1105), Hillsborough Community College. Supplemental Instructor, Fall 2016.

Mentoring

Students that I have mentored and/or advised through individual research and thesis projects.

MS Students
  • Jiahao Xu (MS CS Project, 2022-2023): Building an automatic hypothesis-generation dashboard to assist analysts in performing question-answering with their data.
  • Harry Li (MS CS Project, 2022-2023): Conducting and analyzing interviews to identify design requirements and challenges for knowledge graph systems.
  • Kate Hanson (MS Data Science Project, Spring 2022): Created a visual recommendation system (Vue.js and D3) to assist users in selecting a diet best suited to their personality type.
  • Ashley Jou (MS Data Science Project, Fall 2021): Developed an AutoML framework (Auto-WEKA) to model and predict an individual's BMI from longitudinal nutrition data.
Undergraduate Students
  • Vanessa Bellotti (REU CS Project, 2022-2023): Evaluating a hypothesis-driven approach to solving VAST Challenges in a visual analytics classroom.
  • Edward He, (REU CS Project, 2022-2023): Evaluating a hypothesis-driven approach to solving VAST Challenges in a visual analytics classroom.
  • Daniel Tolessa (REU CS Project, Summer 2022): Formalized a student-driven guideline for solving VAST challenges. Outcome was a paper accepted at IEEE VisGuides '22.
  • Quinn Pham (BS CS Thesis Project, Summer 2020): Ran and quantitatively analyzed large-scale crowdsourced user studies (MechTurk). Outcome was a paper accepted at EuroVis '22.

Artifacts

Here are a couple artifacts I've put together that might help those dipping their toes into teaching.