Yangxinyu Xie

Yangxinyu Xie
  • PhD Student

Contact Information

Links: Personal Website

Overview

This is Xinyu! I am a Ph.D. student at the Department of Statistics and Data Science at the University of Pennsylvania, working with Dr. Weijie Su and Dr. Linda Zhao In the meantime, I work with by Dr. Tanwi Mallick at the Mathematics and Computer Science Division at the Argonne National Laboratory.

My recent work focuses on probing and improving the safety aspects of deploying AI models. In general, I am interested in the theory and applications of machine learning and statistics. In my spare time, I also participate in hackathons and data science competitions.

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Awards and Honors

•2024

Load Disaggregation Challenge: Energy Use in Buildings, 2nd Place

ADRENALIN Energy Competitions

Team Members: Ngoc Mai Tran, Yangxinyu Xie

•2023

CityLearn Challenge Forecasting Track, 2nd Place

NeurIPS

Team Members: Tanwi Mallick, Ngoc Mai Tran, Yangxinyu Xie

•2022

Longhorn Research Poster Session Award, 3rd Place

Research Week

University of Texas at Austin

•2021

Science4cast Competition, 2nd Place

IEEE BigData Cup Challenges

Institute of Advanced Research in Artificial Intelligence (Vienna, Austria)

Team Members: Ngoc Mai Tran, Yangxinyu Xie

•2021

Smart City Hackathon, 1st Place

Good Systems

University of Texas at Austin

Team Members: Jacob Helwig, Jack Si, Yangxinyu Xie

    Knowledge at Wharton

    When AI Transparency Backfires

    New research shows that AI and machine learning models can be made to look fair and neutral in their interpretability outputs while continuing to produce biased real-world decisions.…Read More

    Knowledge @ Wharton - 5/5/2026
    Five Things to Know About Private Credit

    As investor withdrawals and liquidity concerns rattle the $1.8 trillion market, Wharton’s Itay Goldstein explains how private credit works, why experts are uneasy, and what it could mean for your finances.…Read More

    Knowledge @ Wharton - 5/5/2026
    Why Women Need Other Women at Work

    A new study on gender homophily in remote settings found that women who attended virtual career training did better when their classes did not include men.…Read More

    Knowledge @ Wharton - 5/5/2026