My name is Anastassia Kornilova. I am a research scientist (fancier name for a data scientist) at FiscalNote. I spend my days building Machine Learning models and other analytics on legislative data. As an example, I recently published a paper at ACL on predicting how legislators will vote on bills.
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 Khna Acedemy.
I am in interested in language, machine learning, psychology and education. All of these tie back to my fascination with learning: in machines, in schools, in brains…
The purpose of this blog is to share cool technical topics in an approachable way. This will give me a chance to practice explaining cool technical topics and solidify my own understanding of these areas.
Outside of computers, I love photography, rock climbing and traveling (to both mountains and cities).