GET TO KNOW ME
My Background
I am a PhD student at the McCombs School of Business, the University of Texas at Austin. My research works are in colloraborate with Prof. Maytal Saar-Tsechansky (UT Austin), Prof. Maria De Arteaga (UT Austin), and Prof. Tomer Geva (Tel-Aviv University). I am on the job market this year.
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My research aims to develop machine learning and artificial intelligence algorithms to solve business problems. Specifically, my recent projects develop novel ML and AI methods to evaluate workers' decision accuracy and societal bias in many key domains including health care, fraud detection, fact checking, finance, and online labor markets.
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See more details in my CV.
PAPERS & PRESENTATIONS
ASSESSING LABELERS’ BIASES - A NEW MACHINE LEARNING METHOD
Authors: Wanxue Dong, Maria De Arteaga, Maytal Saar-Tsechansky
- Invited to the 32nd Annual Workshop on Information Technologies and Systems 2022 (WITS), Copenhagen, Denmark;
- Presented in October INFORMS 2022 Data Science Workshop (DSW), Indianapolis, Indiana;
- Presented in October 2022 Conference on Information Systems and Technology (CIST), Indianapolis, Indiana;
- Presented in June 2022, the Eighteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Marid, Spain;
- Presented in April 2022, the 18th Annual Big XII+ MIS Research Symposium, Houston, Texas;
A ML-BASED FRAMEWORK TOWARDS TRANSPARENCY IN EXPERTS' DECISION PERFORMANCE
Authors: Wanxue Dong, Maytal Saar-Tsechansky*, Tomer Geva* (pdf or arvix)
- Revise and Resubmit to Management Science;
- Presented in June 2021, Seventeenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), virtual;
- Presented in December 2019, the 29th Annual Workshop on Information Technologies and Systems (WITS), Munich, Germany;
- Presented in October 2019, INFORMS Data Science Workshop (DSW), Seattle, Washington.
EDUCATIONAL HISTORY
Learning and Living
PH.D STUDENT,
THE UNIVERSITY OF TEXAS AT AUSTIN
Information System
McCombs School of Business
GPA:3.91/4.0
Teaching Rate: 4.3/5.0
BACHELOR’S DEGREE,
PURDUE UNIVERSITY
Dual Majors: Computer Science; Statistics
College of Science   Â
GPA: 3.94/4.0