My name is Anastassia Kornilova. I am a research scientist at FiscalNote. I spend my days using Natural Language Processing (NLP) and Data Science to create insights for legislative and regulatory data. I’ve even written a couple of papers about it. I love figuring out how to apply new technology to real-world problems. Specifically, I am interested in balancing the trade-offs between using state-of-the-art models and simple-and-fast methods that are easy to interpret.

My real passion is for education and teaching. In the past, I have given tutorials and talks for DC’s TechRebalanced, Data Science Meetup and WIML/DS. Listen to me talk about Natural Language Processing and SpaCy online. Reach out to me, if you would like for me to talk about NLP or ML your next event.

Previously, I graduated from Carnegie Mellon University with a Bachelor in Computer Science and a Minor in Language Technologies. I’ve, also, interned at Pinterest and Khan Academy.

Outside of technology, I love photography, rock climbing and traveling (to both mountains and cities).