Assistant Professor, Information Science
Academic focus: Fairness in algorithmic systems
Research summary: I use computational tools – like machine learning and causal inference – to study inequity in algorithmic systems, spanning domains from automated speech-to-text systems to online advertisements for welfare benefits.
What inspired you to pursue a career in this field? Inequity is a constant theme in our lives, in the news, on the internet. I want to do my part in chipping away at it.
What are you most looking forward to as a Cornell Engineering faculty member? Participating in inter-departmental collaborations that apply methods from computer science, economics, and public health towards on-the-ground initiatives centering fairness.
What do you like to do when you’re not working? Play music.
Allison Koenecke faculty page