Yixuan He

Assistant Professor,

School of Mathematical and Natural Sciences

Other ASU affiliations

School of Computing and Augmented Intelligence

Affiliated Faculty, School of Mathematical and Statistical Sciences

[email protected]

CLCC 289 Phoenix, AZ 85069
Mail code: 2352

Campus: West
‌

Long Bio

Yixuan He completed her PhD (DPhil) degree at Department of Statistics, University of Oxford, in 2024. Her thesis title was "Graph Neural Networks for Network Analysis," supervised by Professor Gesine Reinert and Professor Mihai Cucuringu. During her doctoral studies, she was honored to be selected as a Clarendon Scholar fully funded by University of Oxford. Prior to receiving her doctorate, she obtained a bachelor’s degree in mathematics and statistics at the University of Edinburgh in 2020 and a bachelor’s degree in mathematics and applied mathematics at South China University of Technology in 2020. During her undergraduate studies, she went on an exchange program in spring of 2018 to University of California, Berkeley and conducted summer research in 2019 at University of California, Los Angeles. Broadly speaking, her research focus is on graph neural networks, machine learning, and mathematical modeling.

Education

DPhil (Ph.D.) Statistics, University of Oxford, 2024
BSc. (Hons) Mathematics and Statistics, The University of Edinburgh, 2020
BSc. Mathematics and Applied Mathematics, South China University of Technology, 2020

Research Website URL

https://sherylhyx.github.io/

Google Scholar URL

https://scholar.google.fi/citations?user=SWme_nYAAAAJ

Courses

2026 Spring

Course Number	Course Title
STP 315	Statistical Computing
STP 281	Stat Analysis for Researchers
MAT 599	Thesis

2025 Fall

Course Number	Course Title
MAT 599	Thesis
STP 311	Regression & Time Series Anal

2025 Spring

Course Number	Course Title
STP 281	Stat Analysis for Researchers
STP 450	Nonparametric Statistics

2024 Fall

Course Number	Course Title
LSC 541	Statistics for Bio Data Sci II

Graduate Faculties / Mentoring History

Expertise Areas

Artificial Intelligence