Federica Zoe Ricci


PhD Candidate, Statistics
University of California Irvine

Preserving the spirit of childhood for life means preserving the curiosity of learning, the pleasure to understand, the desire to communicate. (Bruno Munari)

Hi there! I am a PhD Candidate in Statistics, working with Erik Sudderth (UCI) and Michele Guindani (UCLA). I combine Bayesian statistics and machine learning approaches to develop statistical models for structured data and scalable computational methods. I am a fellow of the HPI Research Center in Machine Learning and Data Science at UCI .

I am very passionate about statistics and data science education. I work on a variety of teaching and research projects in this area, including on formative feedback to data science assignments, gamification, scientific writing and Bayesian thinking in STEM.

Outside of academia, I enjoy spending time in nature, playing board games and organizing road trips.

My pronouns are she/her and this is how my name is pronounced: