I am currently a Data Scientist in Boeing Defense and Space (BDS), focusing on combining traditional Machine Learning and Generative AI towards building AI solutions for understanding complex data. My work aims to improve decision making and problem resolution across different areas, such as manufacturing, supply chain and finance.
Previously, I was a postdoctoral researcher at Microsoft Research NYC in the Computational Social Science Group. I worked on the Perspectives Engine, which aims to generate perspectives for helping people understand unfamiliar numbers encountered in news and other sources. I also conducted research on the impact of Large Language models in decision making and consumer search. My work at Microsoft has been incorporated in multiple product deployments (Microsoft Word, PowerPoint, and Outlook).
I received my Ph.D. in Computer Science from Northeastern University’s Khoury College of Computer Sciences, where I was advised by Professor Seth Cooper. I was awarded a Dissertation Completion Fellowship by Northeastern University to complete my Ph.D. studies in the Fall 2020 semester. In 2015, I received my degree in Electrical and Computer Engineering from the National Technical University of Athens, Greece.
At Northeastern University, I was the lead researcher in Cartoscope, an open-source crowdsourcing image labeling platform. Cartoscope has been used by non-profit organizations such as Healthy Gulf, for monitoring wetland loss in Louisiana, oil spills in the Niger Delta region, and damage assessment after events such as Hurricane Ida. My work has been supported by the National Science Foundation, Google, and Northeastern University TIER 1 grants.
Outside of research, I am a big tennis fan and you can easily spot me in the crowd by my headphones. Sometimes I pretend I have a clue about photography.
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Latest News
You can find more information at the News section.
- [January 2025] Our paper titled `Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance` has been accepted at CHI 2025!
- [May 2024] CHI 2024: Presented our work titled `Using Open Data to Automatically Generate Localized Analogies`.