Federica Zoe Ricci

PhD Candidate, Statistics
University of California Irvine

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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: