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.
When Daniele Visioni was six months away from finishing his physics Ph.D. studies at Italy’s University of L’Aquila he took a long bus ride to Zurich, Switzerland to give a talk at an academic... Read more about Assessing the feasibility (and advisability) of using Sunlight Reflection Methods
Back in 2008 when EAS Assistant Professor Riley Culberg was an undergraduate at the United States Military Academy at West Point, it is unlikely he would have predicted he would end up on the faculty... Read more about Using radar to figure out where glacial meltwater goes
When Grace Barcheck was a sophomore at Washington University in St. Louis, she took a geoscience class that changed her life. You can trace a direct line from that class to her current position as one... Read more about Studying plate tectonics with new tools--and a new perspective
