2020-25 University of Texas at Austin, McCombs School of Business
PhD in Information Systems (Machine Learning)
Advised by Professor Maytal Saar-Tsechansky
2018-20 University of North Carolina at Chapel Hill
M.S. in Statistics
2011-15 New York University, Stern School of Business
B.S. in Statistics and Information Systems
08/2020 - Present | Graduate Research & Teaching Assistant, UT Austin
04/2019 - 04/2021 | Senior Instructor, Juni Learning
01/2018 - 07/2018 | Senior Business Intelligence Analyst, Myriad360
02/2014 - 01/2018 | Business Intelligence Analyst, Myriad360
06/2013 - 08/2013 | Economic Research Intern, Haver Analytics
Human-AI collaboration, AI-advised decision making, algorithmic trust, explainable AI, computational social-science, networks, misinformation
Honors & Awards
2022 | Professional Development Award, UT Austin
2022 | Data Science Workshop Scholarship, INFORMS
2022-23 | Dean's Fellowship, UT Austin
2021-25 | McCombs Fellowship, UT Austin
2020-21 | Graduate Recruitment Fellowship, UT Austin
2022 | MIS 301 - Honors Introduction to Information Technology Management (Teaching Assistant)
2021 | MIS 304 - Introduction to Problem Solving and Programming (Teaching Assistant)
2021 | BA 380C - Strategies for Networked Economy (Teaching Assistant) (MBA Course)
2021 | MIS 373.13 - Information Technology For Supply Chains (Teaching Assistant)
Working & Under Review Papers
Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online? | Terrence Neumann, Nicholas Wolczynski | [Paper]
Learning to Advise Humans by Leveraging Algorithm Discretion | Nicholas Wolczynski, Maytal Saar-Tsechansky, Tong Wang | Under Review @ AAAI '23 | [Paper]
Countering State-Sponsored Media Propaganda Through Labeling: Evidence from Facebook | Patricia Moravec, Nicholas Wolczynski, Avinash Collis | Under Review @ Information Systems Research [draft available upon request]
Serum HMGB1 associates with liver disease and predicts readmission and mortality in patients with alcohol use disorder | Augustin GL Vannier, Ben Wardwell, Vladislav Fomin, Amanda PeBenito, Nicholas Wolczynski, Samuel Piaker, Dmitriy Kedrin, Raymond T Chung, Esperance Schaefer, Russell Goodman, Suraj J Patel, Jay Luther | Published in Alcohol Volume 95, September 2021, Pages 37-43 | [Paper]
2022 - INFORMS Annual Meeting - "Countering state-sponsored media propaganda through labeling: Evidence from Facebook"
2022 - INFORMS Data Science Workshop 2022 - "Leveraging Algorithm Discretion in AI-Advised Teams"
2021 - CODE @ MIT - "Countering state-sponsored media propaganda through labeling: Evidence from Facebook"
2021 - SCECR - "Countering state-sponsored media propaganda through labeling: Evidence from Facebook"
Session Chair: INFORMS Annual Meeting 2022 - Human-AI Teams