Eliot Wong-Toi
PhD Candidate in Statistics at UC Irvine
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About

Hi, I’m Eliot Wong-Toi, a PhD Candidate in Statistics at the University of California, Irvine (UCI), advised by Stephan Mandt. I will complete my PhD in December 2025 and am currently seeking roles as an Applied Scientist or Data Scientist where I can combine methodological innovation with impactful applications.

I enjoy working at the intersection of statistical theory, machine learning, and applied data problems. My research centers on uncertainty quantification in regression and generative models, covering mean-variance regression, generative uncertainty, and conformal prediction. My work has been supported by a Hasso Plattner Institute Research Fellowship.

During my PhD, I have applied statistical and machine learning methods across diverse domains, including:

Before UCI, I received my BS in Mathematics–Computer Science (cum laude) from the University of California, San Diego, where I worked in the Pulmonary Imaging Lab under Rui Carlos Pereira de Sá. There, I applied deep learning methods to medical imaging, developing tools to accelerate annotation and segmentation of imaging datasets.

Education

University of California, Irvine, Irvine, CA

University of California, San Diego, La Jolla, CA

Research

First-Author Publications

Co-Author Publications

Software

Teaching

University of California, Irvine

University of California, San Diego

Service

© 2025 Eliot Wong-Toi