Research

I am curious. I like exploring new things. Here is what I’ve been working on.

The important thing is not to stop questioning. Curiosity has its own reason for existing.

Albert Einstein

Publications

You can view a list of publications here.

Projects

Here are some of the projects I am currently working on or have been a part of in the past.

Photo by Kari Shea on Unsplash
Recommendation System for Typhlo Music Therapy (Spring 2020 – Present)

Music therapy is a health profession that uses clinical and evidence-based music interventions to aid patients in various areas, such as behavioral, academic, social, communication, and physiological. In this project, we collaborate with dr hab. Paweł Cylulko to design a system to help recommend music to aid in rehabilitation work with visually impaired children.

Photo by NordWood Themes on Unsplash
Group Music Recommender Discord Bot (Spring 2021 – Present)

Discord is a social messaging platform designed for building communities. In this project, we create a Discord bot that can join users’ group calls, play music (through user commands), and recommend music based on everyone’s previously liked and disliked music. Through this project, we will continue to learn about different types of existing group recommender strategies and brainstorm ways to create our own.

Photo by The Climate Reality Project on Unsplash
System for Fostering Student Belonging (Spring 2021 – Present)

Previous research has shown that interventions targeting student belonging have led to increased retention. Students are asked to reflect on their learning experiences every week, such as any challenges they had in our class. Self-reflection itself is a key aspect of the learning process. In this project, we aim to design and develop a recommender system utilizing the reflections that can foster student belonging and suggest activities to the student to improve their classroom performance.

Photo by Siora Photography on Unsplash
Photo by Siora Photography on Unsplash
Learning Analytics (Fall 2018 – Spring 2021)

The goal of learning analytics is to use data about learners to better understand and improve their overall learning experiences. Here, the CCI Learning Analytics group developed an interactive AI system with explainability for advisors to quickly learn about their students. My roles in this team mainly consisted of designing the initial prototype (using Indigo Design), aiding with IRB modifications, and designing, carrying out, and analyzing results of user studies.

Photo by Paweł Czerwiński on Unsplash
Funds to Finish (Summer 2019, Summer 2020 – Present)

One of the reasons students delay registration or stop out of university is due to financial reasons. The Funds to Finish initiative works to (1) design and develop an intervention allowing students to plan their degree alongside their financial circumstances and (2) create an index to predict student at-risk of not completing their degree or completing it late. I helped design the initial prototype of the intervention before it was developed and then aided in user studies to evaluate the developed application’s effectiveness.

Photo by Ben Kolde on Unsplash
Web App for Continental (Spring 2018 – Spring 2019)

The goal of this project was to create an application for Continental Tire aimed at creating a valuable onboarding experience for their new employees. I worked in a team as both a frontend developer and scrum master. Our team utilized the agile methodology. As a scrum master, I helped keep track of tasks and sprint planning and communicated with the project managers to better understand the project requirements. As a frontend developer, I helped develop the application using Angular 7. Each week, I also designed a prototype version of our next steps using Adobe XD and obtained feedback before our team implemented it in the actual application.

Photo by STIL on Unsplash
Curri: Curriculum Visualization (Spring 2018 – Fall 2019)

Curri is a tool that visualizes the curriculum based on existing student data and the course catalog. It displays the average semester in which students take each course along with that courses’ prerequisites. The goal of this is to aid curriculum designers in identifying any irregularities in the curriculum. This could include bottlenecks, such as when a course’s average semester is much later than intended or when students often take a course before its prerequisite.