Worked alongside Dr. Damevski and PhD student Mia Mohammad Imran to assess the effectiveness of language-based machine learning models (BERT, ROBERTA) in detecting emotional cues through its ability to identify figurative language such as idioms and metaphors in Software Engineering texts

Worked alongside Dr. Carol Fung and a research team of high-school students to analyze the propagation of conspiracy theories on Twitter, while also contributing to the development of a score computing algorithm to assess the likelihood of users and posts disseminating false information.Analyzed and labeled over 4000+ Twitter posts, users, and hashtags to understand networks and provide an advanced identification system of conspiracy topics and communities. Wrote research paper with the research team, A Study on Conspiracy Theory Propagation Networks on Twitter, based on findings and submitted to the 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023) conference.

Assisted in managing the organization's database project which included researching and implementing ways to modernize and update the user interface of the client and volunteer databases to allow for easier data entry, working with the internship team, and resolving errors in the database's infrastructure based on staff and mentor feedback.

Devoted 100+ hours to volunteering as a teaching assistant for the 2021 Code for Fun Online Summer Camps that helped teach various programming languages to kids like Python, Java, HTML, and Scratch. Assisted in leading class lessons and working 1 on 1 with students who needed coding assistance.