Ketevan Gallagher

Hello! I am a current undergraduate student at the University of Toronto studying computer engineering. I'm interested in cybersecurity, spatial computer science, and machine learning, particularly natural language processing.

For the past three years, I have worked with Dr. Andreas Züfle, a professor at Emory University. I am currently the Mapping Team Lead for aUToronto, University of Toronto's self-driving car team.

My other interests include Tetris, alternative rock music, and jazz piano. The best way to reach me is through either my personal or University of Toronto email.

Updates

4/2025: New project added! Check out the Projects page to learn more about MusicType, a C language text based music creator my partner and I created for our Computer Organization course.

3/2026: In 2024, I developed a machine learning model to analyze evaluations from USAID's Development Experience Clearinghouse (DEC) for my senior research project. A year later, the Trump administration shut down USAID. As a result, the DEC was taken down, and government workers, those who study foreign assistance, economists, academics, and everyone else lost access to hundreds of thousands of USAID documents. Because of my senior research project, I had over 4,000 evaluations and their metadata from the DEC. With the help of academics in the foreign assistance field, I connected with AidData at William and Mary, which has now made these documents available and searchable to the public through a USAID DEC Archive on their website. I'm very grateful that AidData was able to preserve this data, and I'm so happy that these files are not just sitting on a hard drive and are instead available to those who may need them. You can find the DEC archive here.

12/2025: New project added! Check out the Projects page to learn more about the tile matching game my team created for my Digital Systems course.

11/2025: I presented my paper at the SpatialConnect workshop at ACM SIGSPATIAL '25! You can read it on the ACM Digital Library or on my website under publications.

9/2025: My paper, "Your Friends Reveal Where You Are: Location Estimation based on Friends' Locations in Geosocial Networks" was accepted to the SpatialConnect workshop at the 2025 ACM SIGSPATIAL conference! You can find the code and abstract for it in my GitHub.