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

    How to Break Into the Workforce in an AI-Driven Job Market

    Matthew Bidwell, professor of management at the Wharton School, explores how the job search process is evolving for today’s graduates and what it takes to break into the workforce.…Read More

    Knowledge @ Wharton - 4/14/2026
    Generative AI Won’t Create Value on Its Own

    Wharton’s Rahul Kapoor explains why leaders need to think beyond the technology and focus on the strategic challenges of emergence, enablement, and embedding.…Read More

    Knowledge @ Wharton - 4/13/2026
    How Homeownership Helps Build Wealth

    Mortgage modifications during the Great Recession helped distressed borrowers keep their homes and accumulate more capital gains wealth, a new Wharton study finds.…Read More

    Knowledge @ Wharton - 4/13/2026