Differential Privacy and Provable Fairness with Krystal Maughan
The Data Standard
Differential Privacy and Provable Fairness with Krystal Maughan
Krystal Maughan, a current PhD at the University of Vermont, joins The Data Standard to talk about differential privacy and provable fairness.
Episode Summary
Host Catherine Tao sits down with Krystal Maughan, a current Ph.D. at the University of Vermont. Krystal speaks on the topic of differential privacy and provable fairness. Learn more about her take on privacy and fairness.
Meet The Host
Catherine Tao
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Krystal Maughan
PhD candidate at University of Vermont
Fall 2019 PhD Researcher (2019-2024) with focus on Differential/Data Privacy, Machine Learning (University of Vermont). I have a soft spot for research involving Privacy and Fairness, and languages like Haskell.
