👋🏽 Andrew Koulogeorge

📚 I am a first-year Master in Computer Science student at Carnegie Mellon University. I am focusing my study at Carnegie Mellon on Machine Learning.

⭐ My research on Bridging the Faithfulness Gap in Prototypical Models was just accepted for an oral presentation at the Workshop on Insights From Negative Results @ NAACL (2025). Preprint will be available soon!

📱 This summer, I will be interning at AppLovin in Palo Alto working on developing state of the art recommendation systems.

💼 This past summer, I worked as an Applied Scientist Intern at harpin AI where I applied Neural Networks and Text Embedding Models to improve the companies core identity profile similarity model. I was very fortunate to be mentored by Max De Jong and Wenzhong Zhao.

🌲 Last June, I graduated from Dartmouth College Summa Cum Laude with a major in Mathematics.

🔬 While at Dartmouth, I worked as a Machine Learning Researcher at the Minds, Machines and Society Group where my work focused on improving interpretability and preventing bias in Large Language Models. I was lucky to have two excellent advisors in Soroush Vosoughi and Yaoqing Yang!

From Spreadsheets to Tech

Pursuing Machine Learning was far from my original plan. When I arrived at Dartmouth, I initially majored in economics with a focus on a career in finance. I participated in the Tuck Bridge program during my sophomore year and interned as a Technology Mergers & Acquisitions analyst at Moelis & Company over my Junior Summer at Dartmouth. While I greatly appreciated the experience and the people I worked with at Moelis, I ultimately decided not to accept a full-time offer and instead chose to attend Carnegie Mellon to follow the passion I had developed at Dartmouth for Math, Computer Science, and Machine Learning.