I am an Assistant Professor of Marketing at the Stern School of Business, New York University. I earned my Ph.D. from the Tepper School of Business at Carnegie Mellon University, where I also obtained a Master's degree in Engineering. Prior to that, I completed my undergraduate studies in Physics at Nanjing University.

My research focuses on the economic implications of emerging technologies, particularly AI algorithms, and their impact across various industries. I have a keen interest in exploring the role of algorithms in areas such as automated pricing, algorithmic lending, and algorithmic hiring, and how these technologies influence competition and welfare. I am passionate about leveraging my research to contribute positively to society.

Education

Tepper School of Business, Carnegie Mellon University                       Ph.D. in Business Technologies (2024)                              (Dissertation Co-Chairs: Kannan Srinivasan, Param Vir Singh

Tepper School of Business, Carnegie Mellon University                       M.S. in Business Technologies (2021)

Carnegie Institute of Technology, Carnegie Mellon University        M.S. in Civil  and Environmental Engineering (2017)

School of Physics, Nanjing University                                                   B.S. in Acoustics (2016)     


Working Papers

Qiaochu Wang, Yan Huang, Param Vir Singh, and Kannan Srinivasan. "Wrong Model or Wrong Practices? The Impact of Demand Model Mis-specification on Bias Estimation in Personalized Pricing." Presentation at ISMS Marketing Science 2023

Qiaochu Wang, Yan Huang, Param Vir Singh, and Kannan Srinivasan.  "Algorithms, Artificial Intelligence, and Simple Rule-Based Pricing." [Best Student Paper Award Nominee, CIST 2022] Presentation at ISMS Marketing Science 2023

Qiaochu Wang, Yan Huang, and Param Vir Singh. "Algorithmic Lending, Competition, and Strategic Information Disclosure." Major revision at Marketing Science. Presentation at ISMS Marketing Science 2022


Publication  

Qiaochu Wang,  Yan Huang, Stefanus Jasin, and Param Vir Singh. "Algorithmic Transparency with Strategic Users." Management Science Vol. 69, No. 4, April 2023, pp. 2297–2317  [Best Student Paper Award, CIST 2019] Presentation at ISMS Marketing Science 2020


Work in Progress

Nikhil George, Qiaochu Wang, Yan Huang, and Param Vir Singh. Cognitive Bias in Inclusive Banking Customers: Implications for Financial Product Design. [funded by PNC Center for Financial Services Innovation (CFSI)]


Teaching (as a sole instructor)

70-443 Digital Marketing and Social Media Strategy, Spring 2022. 

Teaching Assistant

46-885 Data Exploration and Visualization (MSBA). mini 4 2020, mini 4 2021. (Instructor: Professor Param Vir Singh)

45-885 Data Visualization (MBA). mini 4 2020, mini 4 2021. (Instructor: Professor Param Vir Singh)

45-882 Digital Marketing and Social Media Strategy (MBA). mini 2 2020, mini 2 2021. (Instructor: Professor Param Vir Singh)

95-791 Data mining (MS). Fall 2017. (Instructor: Professor Alexandra Chouldechova)


Award

ISS Nunamaker-Chen Doctoral Dissertation Award Second Runner-up, 2024

The William W. Cooper Doctoral Dissertation Award, 2024

Paul and James W. Wang - Sercomm Presidential Fellowship, 2024

PNC Presidential Fellowship, 2023

ISMS Doctoral Consortium Fellow, 2023

Litzenberger Family Fund, 2022

Best Student Paper Award Nominee, CIST 2022

Research Grant from PNC Center for Financial Services Innovation (CFSI), 2021, 2023

PNC Research Assistantship Award, 2021

Apple Scholars Program Nominee, 2021

Graduate Student Assembly/Provost Fund, 2020, 2022

Microsoft PhD Fellowship Nominee, 2020

Best Student Paper Award, CIST 2019

William Larimer Mellon Fellowship, 2018-present

Dean’s Research Fund, Tepper School of Business, 2018


Invited Talks

Gabelli School of Business, Fordham University, Nov. 2024

Rotman School of Management, University of Toronto, Sep. 2024

UCL School of Management, University College London, Nov. 2023

Foster School of Business, University of Washington, Oct. 2023

Harvard Business School, Harvard University, Oct. 2023

Stern School of Business, New York University, Oct. 2023

Muma College of Business, University of South Florida, Oct. 2023

Naveen Jindal School of Management, the University of Texas at Dallas, Oct. 2023

Mays Business School, Texas A&M University, Oct. 2023

The Wharton School, University of Pennsylvania, Sep. 2023

Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Sep. 2023

Carroll School of Management, Boston College, Sep. 2023


Conference Presentations

ISMS Marketing Science 2020, 2022, 2023.

CIST Conference on Information Systems and Technologies 2019, 2020, 2022, 2024. 

WISE Workshop on Information Systems and Economics 2019, 2020.

POMS Production and Operations Management Society 2023.